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Dissertations / Theses on the topic 'Correlation coefficient'

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Published: 4 June 2021

Last updated: 8 September 2023

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1

Jung, Aekyung. "Interval Estimation for the Correlation Coefficient." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/109.

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The correlation coefficient (CC) is a standard measure of the linear association between two random variables. The CC plays a significant role in many quantitative researches. In a bivariate normal distribution, there are many types of interval estimation for CC, such as z-transformation and maximum likelihood estimation based methods. However, when the underlying bivariate distribution is unknown, the construction of confidence intervals for the CC is still not well-developed. In this thesis, we discuss various interval estimation methods for the CC. We propose a generalized confidence interval and three empirical likelihood-based non-parametric intervals for the CC. We also conduct extensive simulation studies to compare the new intervals with existing intervals in terms of coverage probability and interval length. Finally, two real examples are used to demonstrate the application of the proposed methods.

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Fridline, Mark M. "Almost Sure Confidence Intervals for the Correlation Coefficient." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1258999665.

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Thesis(Ph.D.)--Case Western Reserve University, 2010
Title from PDF (viewed on 2009-12-22) Department of Statistics Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center

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3

Yu, Jianhui. "On Intraclass Correlation Coefficients." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/75.

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This paper uses Maximum likelihood estimation method to estimate the common correlation coefficients for multivariate datasets. We discuss a graphical tool, Q-Q plot, to test equality of the common intraclass correlation coefficients. Kolmogorov-Smirnov test and Cramér-von Mises test are used to check if the intraclass correlation coefficients are the same among populations. Bootstrap and empirical likelihood methods are applied to construct the confidence interval of the common intraclass correlation coefficients.

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4

Liu, Huayu. "Modified Profile Likelihood Approach for Certain Intraclass Correlation Coefficient." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/96.

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In this paper we consider the problem of constructing confidence intervals and lower bounds forthe intraclass correlation coefficient in an interrater reliability study where the raters are randomly selected from a population of raters.The likelihood function of the interrater reliability is derived and simplified, and the profile likelihood based approach is readily available for computing the confidence intervals of the interrater reliability. Unfortunately, the confidence intervals computed by using the profile likelihood function are in general too narrow to have the desired coverage probabilities. From the point view of practice, a conservative approach, if is at least as precise as any existing method, is preferred sinceit gives the correct results with a probability higher than claimed. Under this rationale, we propose the so-called modified likelihood approach in this paper. Simulation study shows that, the proposed method in general has better performance than currently used methods.

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Cepel, Raina. "The spatial cross-correlation coefficient as an ultrasonic detection statistic." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/5054.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 7, 2008) Includes bibliographical references.

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CHEN, ZHAOREN. "ANALYSIS OF EQUITY MARKETS: A SPEARMAN RANK CORRELATION COEFFICIENT APPROACH." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/612636.

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In this honors thesis, I attempted to develop an investment strategy to analyze the U.S. stock market by studying the correlations between nine sectors defined by the Select Sector Standard & Poor’s Depository Receipts (SPDR). These funds are a group of exchange-traded funds (ETFs) which are traded worldwide and can adequately represent the performance of the sectors. Through my method, I hope to identify the sector trends in the future by evaluating the sector ETF’s most recent short-term period data. This analysis will provide an alternate investment method for investors to avoid short-term investment risk as well as explanations of why I think the approach may not be valid.

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7

Giraudeau, Bruno. "Sensibilite du coefficient de correlation intraclasse a une observation extreme." Paris 7, 1997. http://www.theses.fr/1997PA077112.

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Le coefficient de correlation intraclasse, defini comme la proportion de la variabilite totale due a la variabilite inter-sujets, est classiquement utilise pour estimer la reproductibilite d'un instrument de mesure. L'objet de ce travail est d'etudier l'influence d'observations extremes sur ce coefficient. Une observation (i. E. Un vecteur de p mesures) est extreme soit parce que la moyenne des p mesures s'ecarte de facon anormale de la moyenne globale, soit parce que la variance des p mesures est anormalement elevee. Deux approches permettant le traitement de ces observations ont ete envisagees. D'une part, une fonction d'influence d'une observation a ete analytiquement etablie. Elle dissocie l'influence positive associee a la moyenne des p mesures de l'influence negative associee a la variance de ces mesures. Deux tests en sont derives, ce qui permet d'exclure une observation extreme de l'echantillon. D'autre part, une etude de simulation a ete conduite pour comparer la robustesse de quatre estimateurs : l'estimateur du maximum de vraisemblance, deux estimateurs bootstrap et un estimateur defini a partir de quartiles. Le reechantillonnage ne permet pas de gagner en robustesse, par contre, l'estimateur defini a partir des quartiles est robuste aux observations extremes, mais necessite une distribution normale des donnees. L'utilisation du coefficient de correlation intraclasse est ensuite illustree par deux etudes en rhumatologie. Ainsi, on a estime la reproductibilite de quatre instruments utilises pour l'evaluation radiologique de la gonarthrose, puis on a etudie la reproductibilite et la sensibilite au changement de plusieurs methodes d'evaluation de la progression de la gonarthrose. Cette derniere etude clinique a, en outre, conduit a une investigation analytique des relations existant entre la reproductibilite et la sensibilite au changement, ce qui nous a permis de montrer que la qualite metrologique primordiale reste la reproductibilite.

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8

Leach, Lesley Ann Freeny. "Bias and Precision of the Squared Canonical Correlation Coefficient under Nonnormal Data Conditions." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5361/.

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This dissertation: (a) investigated the degree to which the squared canonical correlation coefficient is biased in multivariate nonnormal distributions and (b) identified formulae that adjust the squared canonical correlation coefficient (Rc2) such that it most closely approximates the true population effect under normal and nonnormal data conditions. Five conditions were manipulated in a fully-crossed design to determine the degree of bias associated with Rc2: distribution shape, variable sets, sample size to variable ratios, and within- and between-set correlations. Very few of the condition combinations produced acceptable amounts of bias in Rc2, but those that did were all found with first function results. The sample size to variable ratio (n:v)was determined to have the greatest impact on the bias associated with the Rc2 for the first, second, and third functions. The variable set condition also affected the accuracy of Rc2, but for the second and third functions only. The kurtosis levels of the marginal distributions (b2), and the between- and within-set correlations demonstrated little or no impact on the bias associated with Rc2. Therefore, it is recommended that researchers use n:v ratios of at least 10:1 in canonical analyses, although greater n:v ratios have the potential to produce even less bias. Furthermore,because it was determined that b2 did not impact the accuracy of Rc2, one can be somewhat confident that, with marginal distributions possessing homogenous kurtosis levels ranging anywhere from -1 to 8, Rc2 will likely be as accurate as that resulting from a normal distribution. Because the majority of Rc2 estimates were extremely biased, it is recommended that all Rc2 effects, regardless of which function from which they result, be adjusted using an appropriate adjustment formula. If no rationale exists for the use of another formula, the Rozeboom-2 would likely be a safe choice given that it produced the greatest number of unbiased Rc2 estimates for the greatest number of condition combinations in this study.

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Wilson, Celia M. "Attenuation of the Squared Canonical Correlation Coefficient Under Varying Estimates of Score Reliability." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc30528/.

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Research pertaining to the distortion of the squared canonical correlation coefficient has traditionally been limited to the effects of sampling error and associated correction formulas. The purpose of this study was to compare the degree of attenuation of the squared canonical correlation coefficient under varying conditions of score reliability. Monte Carlo simulation methodology was used to fulfill the purpose of this study. Initially, data populations with various manipulated conditions were generated (N = 100,000). Subsequently, 500 random samples were drawn with replacement from each population, and data was subjected to canonical correlation analyses. The canonical correlation results were then analyzed using descriptive statistics and an ANOVA design to determine under which condition(s) the squared canonical correlation coefficient was most attenuated when compared to population Rc2 values. This information was analyzed and used to determine what effect, if any, the different conditions considered in this study had on Rc2. The results from this Monte Carlo investigation clearly illustrated the importance of score reliability when interpreting study results. As evidenced by the outcomes presented, the more measurement error (lower reliability) present in the variables included in an analysis, the more attenuation experienced by the effect size(s) produced in the analysis, in this case Rc2. These results also demonstrated the role between and within set correlation, variable set size, and sample size played in the attenuation levels of the squared canonical correlation coefficient.

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10

Liu, Li-yu Daisy. "Coefficient of intrinsic dependence: a new measure of association." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2397.

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To detect dependence among variables is an essential task in many scientific investigations. In this study we propose a new measure of association, the coefficient of intrinsic dependence (CID), which takes value in [0,1] and faithfully reflects the full range of dependence for two random variables. The CID is free of distributional and functional assumptions. It can be easily implemented and extended to multivariate situations. Traditionally, the correlation coefficient is the preferred measure of association. However, it's effectiveness is considerably compromised when the random variables are not normally distributed. Besides, the interpretation of the correlation coefficient is difficult when the data are categorical. By contrast, the CID is free of these problems. In our simulation studies, we find that the ability of the CID in differentiating different levels of dependence remains robust across different data types (categorical or continuous) and model features (linear or curvilinear). Also, the CID is particularly effective when the dependence is strong, making it a powerful tool for variable selection. As an illustration, the CID is applied to variable selection in two aspects: classification and prediction. The analysis of actual data from a study of breast cancer gene expression is included. For the classification problem, we identify a pair of genes that best classify a patient's prognosis signature, and for the prediction problem, we identify a pair of genes that best relates to the expression of a specific gene.

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11

Ukoumunne, Obioha Chukwunyere. "Confidence intervals for the intraclass correlation coefficient in cluster randomised trials." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418293.

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12

Kalaitzis, Angelos. "Bitcoin - Monero analysis: Pearson and Spearman correlation coefficients of cryptocurrencies." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-41402.

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In this thesis, an analysis of Bitcoin, Monero price and volatility is conducted with respect to S&P500 and the VIX index. Moreover using Python, we computed correlation coefficients of nine cryptocurrencies with two different approaches: Pearson and Spearman from July 2016 -July 2018. Moreover the Pearson correlation coefficient was computed for each year from July2016 - July 2017 - July 2018. It has been concluded that in 2016 the correlation between the selected cryptocurrencies was very weak - almost none, but in 2017 the correlation increased and became moderate positive. In 2018, almost all of the cryptocurrencies were highly correlated. For example, from January until July of 2018, the Bitcoin - Monero correlation was 0.86 and Bitcoin - Ethereum was 0.82.

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13

HAN, XIAOZHEN. "Evaluating the Correlation Coefficient of Bivariate Failure Times: A Copula-based Approach." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1427993855.

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14

崎浜, 秀行, and Hideyuki Sakihama. "文章産出意識尺度の信頼性に関する検討 : 情報伝達文の場合." 名古屋大学教育学部, 1999. http://hdl.handle.net/2237/2953.

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15

Bose, Mrinal Kanti. "NON-CLASSICAL DAMPING PROPERTIES AND MODAL CORRELATION COEFFICIENT FOR DYNAMIC ANALYSIS OF STRUCTURES." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010305-150413.

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BOSE, MRINAL KANTI. Non-Classical Damping Properties and Modal Correlation Coefficient for Dynamic Analysis of Structures. (Under the direction of Abhinav Gupta and Ajaya Gupta.)The seismic response of secondary systems depends, in addition to their uncoupled dynamic characteristics, on the interaction with primary structures supporting them. This dissertation presents a verification study of the formulations to evaluate the seismic response of non-classically damped building-piping systems by modal synthesis approach. The existing studies consider only simple representative primary-secondary systems. No real-life like coupled system such as building-piping was used in these studies. Further, the majority of simple systems considered in these studies do not represent realistic coupled systems with significant effect of non-classical damping as they have either high values of mass ratios or systems with detuned modes.In this dissertation, different configurations of simple representative systems as well as real-life like building-piping systems are considered. Responses obtained from modal superposition time history analyses as well as response spectrum analyses are compared with the corresponding responses obtained by Brookhaven National Laboratory from the direct integration time history analyses. Modal superposition time history analyses results and direct integration time history analyses results are almost identical. The mean and standard deviation of responses from response spectrum analyses are close to the corresponding values evaluated using direct integration time history analysis. In addition to the verification results, a detailed discussion is also presented on the significance of non-classical damping. It is shown that the effect of non-classical damping is significant in systems that have nearly tuned modes and sufficiently small values of modal mass ratios. It is also illustrated that composite modal damping is an alternate form of classical damping that can result in incorrect responses in non-classically damped systems. Possible reasons for numerical and modeling differences that can occur in real-life like building-piping system are identified and their effect on the dynamic characteristics of the coupled system is illustrated.In the response spectrum method, the maximum modal responses are combined using an appropriate formulation for the modal correlation coefficient. This dissertation presents a new formulation which is based on the observation that the response spectrum method is a design method such that the statistical values of responses evaluated from multiple time history analyses should be close to the corresponding values obtained from the response spectrum method. Results from a numerical study using several real earthquake records are used to develop the new formulation. Different expressions are proposed for combining modal responses that have same algebraic sign and for those that have opposite algebraic signs.

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Shiroma, Paul Shigeo 1960. "Calculating the correlation coefficient between selected ability and achievement tests using validity generalization." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277013.

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The correlation coefficient between an ability test and achievement test is necessary in order to estimate the effects of the regression of IQ on achievement when calculating a discrepancy between them for the purpose of classifying a child as learning disabled. Weighted mean correlations and their respective variances were computed across studies for one of 11 ability-achievement test pairs using a meta-analysis procedure called Validity Generalization. The results indicated that there is no "global correlation coefficient" that will accurately represent the relationship between all ability and achievement tests. Furthermore, critical data necessary to adjust correlations and their respective variances for statistical artifacts were not reported in the literature. Thus, the results obtained from the subgroups could be due to capitalization on chance.

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17

Motamed, Maryam. "Effects of Site Response on the Correlation Structure of Ground Motion Residuals." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25333.

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Seismic hazard analyses require an estimate of earthquake ground motions from future events. These predictions are achieved through Ground Motion Prediction Equations, which include a prediction of the median and the standard deviation of ground motion parameters. The differences between observed and predicted ground motions, when normalized by the standard deviation, are referred to as epsilon (𝜖). For spectral accelerations, the correlation structure of normalized residuals across oscillator periods is important for guiding ground motion selection. Correlation structures for large global datasets have been studied extensively. These correlation structures reflect effects that are averaged over the entire dataset underlying the analyses. This paper considers the effects of site response, at given sites, on the correlation structure of normalized residuals. This is achieved by performing site response analyses for two hypothetical soil profiles using a set of 85 rock input motions. Results show that there is no significant difference between correlation coefficients for rock ground motions and correlation coefficients after considering the effects of site response for the chosen sites.
Master of Science

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18

Conrad, III Dallis G. "Speckle Statistics of Articulating Objects." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1320673424.

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Wu, Baohua. "Data Driven Approaches to Testing Homogeneity of Intraclass Correlation Coefficients." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/math_theses/92.

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The test of homogeneity for intraclass correlation coefficients has been one of the active topics in statistical research. Several chi-square tests have been proposed to test the homogeneity of intraclass correlations in the past few decades. The big concern for them is that these methods are seriously biased when sample sizes are not large. In this thesis, data driven approaches are proposed to testing the homogeneity of intraclass correlation coefficients of several populations. Through simulation study, data driven methods have been proved to be less biased and accurate than some commonly used chi-square tests.

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20

Bandyopadhyay, Deep Becker Bryan R. "Determination of heat transfer coefficient and correlation of dimensionless number for freezing of foods." Diss., UMK access, 2004.

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Thesis (M.S.)--School of Computing and Engineering . University of Missouri--Kansas City, 2004.
"A thesis in mechanical engineering." Typescript. Advisor: Bryan R. Becker Vita. Title from "catalog record" of the print edition Description based on contents viewed Feb. 22, 2006. Includes bibliographical references (leaves 100-104). Online version of the print edition.

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21

Hynes, Christopher. "Evaluation of methods for estimating the cross-correlation coefficient between closely spaced diversity antennas." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/32003.

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A growing number of cellular handsets and other personal wireless communications devices use diversity combining and/or MIMO techniques in order to boost link performance and reliability and therefore must incorporate closely spaced antennas. The cross-correlation coefficient between such antennas in fading environments is a key predictor of the success of such schemes. In recent years, several methods for predicting this parameter based upon measurement or simulation of either their field or terminal characteristics have been proposed. Here, we compare the performance of such methods for the case of two closely spaced half-wavelength dipole antennas subject to the assumptions that (1) the angle of arrival distribution is uniformly distributed in three-dimensions, (2) the polarization of the incident waves are uncorrelated to each other and individually uncorrelated in different directions and (3) the cross-polarization power ratio is unity. We consider two diversity antenna configurations. In the first, one antenna is loaded while the other is terminated by an open circuit, e.g., as in the case of switched diversity schemes. In the second, both antennas are attached to matched loads, e.g., as in the case of diversity combining or MIMO schemes. The best results were obtained using isolated far-field pattern coherence when one antenna is open-circuited and both antennas have characteristics approaching those of minimal scattering antennas. However, our results also indicate that the majority of recently proposed methods for estimating the cross-correlation coefficient are surprisingly inaccurate, especially when both antennas are attached to matched loads. Furthermore, we conclude that the total efficiency of the antennas is just as important as their cross-correlation in determining the performance of a multiple antenna system. KEYWORDS: Antenna array mutual coupling, Antenna measurements, Antenna proximity factors, Correlation, Dipole antennas
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate

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Li, Xiang. "Maximum rank correlation estimation for generalized varying-coefficient models with unknown monotonic link function." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/15574/.

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Generalized varying coefficient models (GVCMs) form a family of statistical utilities that are applicable to real world questions for exploring associations between covariates and response variables. Researchers frequently fit GVCMs with particular link transformation functions. It is vital to recognize that to invest a model with a wrong link could provide extremely misleading knowledge. This thesis intends to bypass the actual form of the link function and explore a set of GVCMs whose link functions are monotonic. With the monotonicity being secured, this thesis endeavours to make use of the maximum rank correlation idea and proposes a maximum rank correlation estimation (MRCE) method for GVCMs. In addition to the introduction of MRCE, this thesis further extends the consideration to Generalized Semi-Varying Coefficient Models (GSVCMs), Panel data, simulations and empirical studies.

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Olvera, Astivia Oscar Lorenzo. "On the estimation of the polychoric correlation coefficient via Markov Chain Monte Carlo methods." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44349.

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Bayesian statistics is an alternative approach to traditional frequentist statistics that is rapidly gaining adherents across different scientific fields. Although initially only accessible to statisticians or mathematically-sophisticated data analysts, advances in modern computational power are helping to make this new paradigm approachable to the everyday researcher and this dissemination is helping open doors to problems that have remained unsolvable or whose solution was extremely complicated through the use of classical statistics. In spite of this, many researchers in the behavioural or educational sciences are either unaware of this new approach or just vaguely familiar with some of its basic tenets. The primary purpose of this thesis is to take a well-known problem in psychometrics, the estimation of the polychoric correlation coefficient, and solve it using Bayesian statistics through the method developed by Albert (1992). Through the use of computer simulations this method is compared to traditional maximum likelihood estimation across various sample sizes, skewness levels and numbers of discretisation points for the latent variable, highlighting the cases where the Bayesian approach is superior, inferior or equally effective to the maximum likelihood approach. Another issue that is investigated is a sensitivity analysis of sorts of the prior probability distributions where a skewed (bivariate log-normal) and symmetric (bivariate normal) priors are used to calculate the polychoric correlation coefficient when feeding them data with varying degrees of skewness, helping demonstrate to the reader how does changing the prior distribution for certain kinds of data helps or hinders the estimation process. The most important results of these studies are discussed as well as future implications for the use of Bayesian statistics in psychometrics

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Martin, Lionel. "Analysis of the IRB asset correlation coefficient with an application to a credit portfolio." Thesis, Uppsala universitet, Analys och tillämpad matematik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-211641.

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Mitori, Tiffany Leilani. "Flight and Stability of a Laser Inertial Fusion Energy Target in the Drift Region between Injection and the Reaction Chamber with Computational Fluid Dynamics." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1154.

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A Laser Inertial Fusion Energy (LIFE) target’s flight through a low Reynolds number and high Mach number regime was analyzed with computational fluid dynamics software. This regime consisted of xenon gas at 1,050 K and approximately 6,670 Pa. Simulations with similar flow conditions were performed over a sphere and compared with experimental data and published correlations for validation purposes. Transient considerations of the developing flow around the target were explored. Simulations of the target at different velocities were used to determine correlations for the drag coefficient and Nusselt number as functions of the Reynolds number. Simulations with different target angles of attack were used to determine the aerodynamic coefficients of drag, lift, Magnus moment, and overturning moment as well as target stability. The drag force, lift force, and overturning moment changed minimally with spin. Above an angle of attack of 15°, the overturning moment would be destabilizing. At angles of attack less than 15°, the overturning moment would tend to decrease the target’s angle of attack, indicating the lack of a need for spin for stability at these small angles. This stabilizing moment would cause the target to move in a mildly damped oscillation about the axis parallel to the free-stream velocity vector through the target’s center of gravity.

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Bai, Shasha. "Inference on Intraclass Correlation Coefficients arising in a General Clustered Repeated-Measures Design." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1395614770.

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Смирнова, Н. В., В. В. Смирнов, Н. В. Смірнова, and В. В. Смірнов. "Стабилизация параметров дуги в процессе размерной обработки деталей злектрической дугой." Thesis, Національний університет харчових технологій, 2012. http://dspace.kntu.kr.ua/jspui/handle/123456789/6966.

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The arcing mode control in the dimensional machining arc process problem solution submitted. The problem is solved by determining the optimal parameters of the arc regime and maintaining the arc process stability using the signal processing current and arc voltage correlation method.

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Marpuri, ReddySalilaja. "Evaluation of Annotation Performances between Automated and Curated Databases of E.COLI Using the Correlation Coefficient." TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/94.

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This project compared the performance of the correlation coefficient to show similarities in annotations between a predictive automated bacterial annotation database and the curated EcoCyc database. EcoCyc is a conservative multidimensional annotation system that is exclusively based on experimentally validated findings by over 15,000 publications. The automated annotation system, used in the comparison was BASys. It is often used as a first pass annotation tool that tries to add as many annotations as possible by drawing upon over 30 information sources. Gene ontology served as one basis of comparison between these databases because of the limited common terms in the ontology annotations. Translation libraries were used to extend the number of BASys terms that could be compared to the gene ontology terms in EcoCyc. Additional, non-ontology terms and metadata in BASys were compared to EcoCyc terms after parsing them into root words. The different term sources were quantitatively compared by using the correlation coefficient as the evaluation metric. The direct gene ontology comparison gave the lowest correlation coefficient. The addition of gene ontology terms to BASys by using translation tables of metadata greatly increased the correlation coefficient, which was comparable to the parsed word comparison. The combination of enhanced gene ontology and parsed word methods gave the highest correlation coefficient of 0.16. The controlled vocabulary system of gene ontology was not sufficient to compare two annotated databases. The addition of gene ontology terms from translation libraries greatly increased the performance of these comparisons. In general, as the number of comparison terms increased the correlation coefficient increased. Future comparisons should include the enhanced gene ontology dataset in order to monitor the organization pertaining to formal nomenclature and the datasets generated from Word parsing can be used to monitor the degree of additional terms might be incorporated with translation libraries.

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Perrett, Jamis J. "Using prior information on the intraclass correlation coefficient to analyze data from unreplicated and under-replicated experiments." Diss., Manhattan, Kan. : Kansas State University, 2004. http://hdl.handle.net/2097/45.

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Wunderle, Alexander Georg [Verfasser]. "Precision measurement of the beta-nu angular correlation coefficient a in free neutron decay / Alexander Georg Wunderle." Mainz : Universitätsbibliothek Mainz, 2017. http://d-nb.info/1125973005/34.

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Wang, Luqiang. "Contributions to estimation of measures for assessing rater reliability." Diss., Temple University Libraries, 2009. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/44053.

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Statistics
Ph.D.
Reliability measures have been well studied over many years, beginning with an entire chapter devoted to intraclass correlation in the first edition of Fisher (1925). Such measures have been thoroughly studied for two factor models. This dissertation, motivated by a medical research problem, extends point and confidence interval estimation of both intraclass correlation coefficient and interater reliability coefficient to models containing three crossed random factors -- subjects, raters and occasions. The intraclass correlation coefficient is used when decision is made on an absolute basis with rater's scores, while the interater reliability coefficient is defined for decisions made on a relative basis. The estimation is conducted using both ANOVA and MCMC methods. The results from the two methods are compared. The MCMC method is preferred for analyses of small data sets when ICC values are high. Besides, the bias of estimator of intraclass correlation coefficient in one-way random effects model is evaluated.
Temple University--Theses

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Jain, Akansha, and Svitlana Denga. "Volatility on forex exchange of India." Thesis, PUET, 2015. http://dspace.puet.edu.ua/handle/123456789/2852.

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Exchange rate movements play substantial role in risk measurement and their effective management. Volatility in exchange rates has been quite large and it has affected sales as well as profit margins of multinationals in India. Based on statistic analysis, some suggestion have been drawn for improving functioning of forex exchange market in India.
1. Most hedging instruments are required to cope up extreme volatility of INR against all major currencies of the world. 2. Steady liberalization of financial markets is need more attention on business who invest back in India. 3. Promotion of invoicing of trade in domestic currency will be extremely helpful and beneficial to cope up with extreme volatility. 4. There has been wide progress and enhancement of INR market across globe especially in Dubai, Singapore, London and New York, so it is need to try relocate of offshore activities on shore. 5. RBI has taken a number of steps in the recent past to liberalize currency futures market to obviate/reduce the need for the NDF market. 6. There is need for effective coalition between OTC and exchange traded markets for currency futures. 7. More focus should be to advocate the importance and practicability of risk management techniques in particular using options. 8. There is need to develop strict monitoring mechanism by liberalizing open position limits of banks.

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Rodrigue, Natalie. "A comparison of the performance of Generalized Procrustes analysis and the intraclass coefficient of correlation to estimate interrater reliability." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0022/MQ50868.pdf.

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34

Clearman, William M. "Measurement and correlation of directional permeability and Forchheimer's inertial coefficient of micro porous structures used in pulse tube cryocoolers." Thesis, Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-07092007-111541/.

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Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2008.
Kirkconnell, Carl S., Committee Member ; Ghiaasiaan, S. Mostafa, Committee Chair ; Desai, Prateen V., Committee Member ; Jeter, Sheldon M., Committee Member.

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35

Orjuela, Maria del Pilar. "A Study on the Correlation of Bivariate And Trivariate Normal Models." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/976.

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Suppose two or more variables are jointly normally distributed. If there is a common relationship between these variables it would be very important to quantify this relationship by a parameter called the correlation coefficient which measures its strength, and the use of it can develop an equation for predicting, and ultimately draw testable conclusion about the parent population. This research focused on the correlation coefficient ρ for the bivariate and trivariate normal distribution when equal variances and equal covariances are considered. Particularly, we derived the maximum Likelihood Estimators (MLE) of the distribution parameters assuming all of them are unknown, and we studied the properties and asymptotic distribution of . Showing this asymptotic normality, we were able to construct confidence intervals of the correlation coefficient ρ and test hypothesis about ρ. With a series of simulations, the performance of our new estimators were studied and were compared with those estimators that already exist in the literature. The results indicated that the MLE has a better or similar performance than the others.

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36

Chen, Chengshang. "Rear Approaching Vehicle Detection with Microphone." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-23565.

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When a cyclist is cycling on a suburban road, it’s a problem to notice fast rear approaching vehicles in some cases. Looking back frequently is not a good idea. Finding some technical way to help cyclist perceiving rear approaching vehicles is quite necessary. This project aims to find some proper sensor to detect rear approaching vehicles. It’s separated into three steps. First, choose the suitable sensor and capture data. Then, find proper analyzing tool to analyze the capture data. Last but not least, draw a conclusion after analyzing contrast. Microphone is chosen as the sensor to recording the sounds form rear approaching vehicles. ”iRig Recorder FREE” is the program to transfer audio format. And the analyzing tool is to be Matlab. Matlab audio analysis makes good frequency spectrum for each piece of audio data. According to the frequency spectrum, the unique amplitude change around 1000 Hz is found when there is a rear approaching vehicle. This change is always distinct with or without noise. After getting the spectrum of different audio sources, the cross-correlation coefficient between 800 Hz and 1200 Hz is computed to see the correlation level. Then according to cross-correlation coefficient between new captured data and knowledge data, we can determine if there is a rear approaching vehicle in the new data or not. So, this project proves that the cross-correlation coefficient of frequency spectrum can determine if there is rear approaching vehicles or not. The future work would be automatic computer detect depending on this method.

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37

Venter, Philip van Zyl. "A supercritical R-744 heat transfer simulation implementing various Nusselt number correlations / Philip van Zyl Venter." Thesis, North-West University, 2010. http://hdl.handle.net/10394/4234.

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During the past decade research has shown that global warming may have disastrous effects on our planet. In order to limit the damage that the human race seems to be causing, it was acknowledged that substances with a high global warming potential (GWP) should be phased out. In due time, R-134a with a GWP = 1300, may probably be phased out to make way for nature friendly refrigerants with a lower GWP. One of these contenders is carbon dioxide, R-744, with a GWP = 1. Literature revealed that various Nusselt number (Nu) correlations have been developed to predict the convection heat transfer coefficients of supercritical R-744 in cooling. No proof could be found that any of the reported correlations accurately predict Nusselt numbers (Nus) and the subsequent convection heat transfer coefficients of supercritical R-744 in cooling. Although there exist a number of Nu correlations that may be used for R-744, eight different correlations were chosen to be compared in a theoretical simulation program forming the first part of this study. A water-to-transcritical R-744 tube-in-tube heat exchanger was simulated. Although the results emphasise the importance of finding a more suitable Nu correlation for cooling supercritical R-744, no explicit conclusions could be made regarding the accuracy of any of the correlations used in this study. For the second part of this study experimental data found in literature were used to evaluate the accuracy of the different correlations. Convection heat transfer coefficients, temperatures, pressures and tube diameter were employed for the calculation of experimental Nusselt numbers (Nuexp). The theoretical Nu and Nuexp were then plotted against the length of the heat exchanger for different pressures. It was observed that both Nuexp and Nu increase progressively to a maximal value and then decline as the tube length increases. From these results it were possible to group correlations according to the general patterns of their Nu variation over the tube length. Graphs of Nuexp against Nus, calculated according to the Gnielinski correlation, generally followed a linear regression, with R2 > 0.9, when the temperature is equal or above the pseudocritical temperature. From this data a new correlation, Correlation I, based on average gradients and intersects, was formulated. Then a modification on the Haaland friction factor was used with the Gnielinski correlation to yield a second correlation, namely Correlation II. A third and more advanced correlation, Correlation III, was then formulated by employing graphs where gradients and y-intercepts were plotted against pressure. From this data a new parameter, namely the turning point pressure ratio of cooling supercritical R-744, was defined. It was concluded that the employed Nu correlations under predict Nu values (a minimum of 0.3% and a maximum of 81.6%). However, two of the correlations constantly over predicted Nus at greater tube lengths, i.e. below pseudocritical temperatures. It was also concluded that Correlation III proved to be more accurate than both Correlations I and II, as well as the existing correlations found in the literature and employed in this study. Correlation III Nus for cooling supercritical R-744 may only be valid for a diameter in the order of the experimental diameter of 7.73 mm, temperatures that are equal or above the pseudocritical temperature and at pressures ranging from 7.5 to 8.8 MPa.
Thesis (M.Ing. (Mechanical Engineering))--North-West University, Potchefstroom Campus, 2010.

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38

Raei, Mohammed. "The Shape Synthesis of Antenna Decoupling Surfaces." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42252.

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Although multi-element antenna (MEA) systems are already used in some modern wireless communication systems, the issue of mutual coupling between elements remains a challenge during MEA system design. Indeed, communications engineers continue to bemoan the fact that that the antenna elements are often still designed with such coupling as an afterthought. Thus, some authors have used the decoupling surface (DS) idea, whereby a separate DS is added to the MEA systems to reduce the above coupling. Whereas a DS may indeed lower the coupling levels between the elements of a given MEA system, it usually changes the other performance parameters as well, and in an undesirable way. Thus, this design route is a complicated one that is not easily affected. In this thesis we propose, for the first time, a new design process for MEA systems based on shape synthesis. The MEA system performance indicators are combined into an objective that sets the goal of the shape synthesis procedure. The application of the proposed design process is illustrated for three different geometrical arrangements of patch antennas and decoupling surfaces. This confirms the efficacy of the new design method.

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39

Schmidt, Christian [Verfasser]. "Improved determination of the beta-neutrino angular correlation coefficient a in free neutron decay using the aSPECT experiment / Christian Schmidt." Mainz : Universitätsbibliothek Mainz, 2019. http://d-nb.info/1191284425/34.

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40

Paler, Mary Elvi Aspiras. "On Modern Measures and Tests of Multivariate Independence." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1447628176.

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41

Oerder, Kyle. "Operator algebras and quantum information." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/75515.

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The C*-algebra representation of a physical system provides an ideal backdrop for the study of bipartite entanglement, as a natural definition of separability emerges as a direct consequence of the non-abelian nature of quantum systems under this formulation. The focus of this dissertation is the quantification of entanglement for infinite dimensional systems. The use of Choquet’s theory of boundary integrals allows for an integral representation of the states on a C*-algebra and subsequent adaptation of the Convex Roof Measures to infinite dimensional systems. Another measure of entanglement, known as the Quantum Correlation Coefficient, is also shown to be a valid measure of entanglement in infinite dimensions, by making use of the intimate connection between separability and positive maps.
Dissertation (MSc)--University of Pretoria, 2020.
Physics
MSc
Unrestricted

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42

Wonkye, Yaa Tawiah. "Innovations of random forests for longitudinal data." Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1563054152739397.

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43

Chen, Chia-Cheng. "Assessing agreement with intraclass correlation coefficient and concordance correlation coefficient." 2009. http://www.lib.ncsu.edu/theses/available/etd-05202009-163011/unrestricted/etd.pdf.

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44

Hiriote, Sasiprapa Chinchilli Vernon M. "Multivariate concordance correlation coefficient." 2009. http://etda.libraries.psu.edu/theses/approved/PSUonlyIndex/ETD-4104/index.html.

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45

Lee, Wan Yi, and 李宛懌. "Is Pearson Sample Correlation Coefficient Always Feasible To Test For Correlations ?" Thesis, 2016. http://ndltd.ncl.edu.tw/handle/43295031226491363248.

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46

江彥聖. "Fuzzy correlation coefficient and its appications." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/21745648978642170344.

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碩士
國立政治大學
應用數學研究所
97
In the scientific research, we often pay attention to whether there are some relations between two variables, and the strength and direction of a linear relationship. But the traditional statistics method is not suitable for the fuzzy data. There are a lot of statistics of discussing the relevance between two variables. In this study, a modified method, combining Pearson Product-Moment Correlation Coefficient and fuzzy theory, was applied to deal with the fuzzy data, and find the linear relation among them.

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47

Chao, Wei-Ming, and 趙偉銘. "Study on Defect Detection using Correlation Coefficient." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/69864504615440578924.

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碩士
義守大學
資訊工程學系碩士班
98
As the panel industry is highly developing and the panels are widely used, there are high demands of testing technique for parts of panel processing. In the past, manufacturers inspect the flaws of products by eyes, in which the flaws include burnt pixels, dark point, scratches, and the defects of low contrast. However, there are many disadvantages, such as time consumed and tiredness, of testing by eyes, they result in misjudgment. As a result, the quality of product is not easy to control. This study mainly focuses on the automatic optical inspection of dark point and uneven brightness, called Mura, to increase yield rate of products and help manufacturers improve the processing. The types of defects of dark point and uneven brightness are totally different. Also they are produced on different panels. This study uses two techniques to inspect the flaws with different characteristics. The first part of the study is to extract the dark point from polymer light emitting display (PLED) by dark point extraction. Dark point extraction, one of digital image processes, is a good way to find out the problem. The second part of this study is to detect the flaws on anti-reflection (AR) glass automatically. We use normalized cross-correlation (NCC) method to detect the Mura defects. A fast algorithm is proposed with four template directions, which can detect various types of line Mura efficiently. Experimental results show that we can speedup the calculation apparently and detect various types of low contrast Mura.

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48

Lin, Tong-Hong, and 林東宏. "Using Correlation Coefficient in ECG Waveform for Arrhythmia Detection." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/09559117913644374498.

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碩士
逢甲大學
自動控制工程所
92
Abstract Arrhythmia is one kind of diseases that gives rise to the death and possibly forms the immedicable danger. The most common cardiac arrhythmia is the ventricular premature beat (extrasystole). The analysis of the electrocardiogram (ECG) signal is the most readily available method for diagnosing cardiac arrhythmias. The main purpose of this study is to develop an efficient arrhythmia detection algorithm based on the morphology characteristics of arrhythmias in ECG signal. There are two main processes. First, we detect whether the RR-interval duration locates in the normal range. Secondly, we detect whether the morphology of QRS complex is arrhythmia. Subjects for experiments included normal subjects, patients with atrial premature contraction (APC), and patients with ventricular premature contraction (PVC). So and Chan’s algorithm was used to find the locations of QRS complexes. When the QRS complexes were detected, the correlation coefficient was utilized to calculate the similarity of arrhythmias. The algorithm was tested using MIT-BIH arrhythmia database and every QRS complex was classified in the database. The total number of test data was 538, 9 and 24 for normal beats, APCs and PVCs, respectively. The results are presented in terms of sensitivity, positive predication, and performance. High overall performance (99.3%) for the classification of the different categories of arrhythmic beats was achieved. The accuracy results of the system reach 99.44%, 100% and 95.35% for normal beats, APCs and PVCs, respectively. The sensitivity results of the system are 99.81%, 81.82% and 95.83% for normal beats, APCs and PVCs, respectively. Results revealed that the system is accurate and efficient to classify arrhythmias of APC and PVC from ECG signals. The proposed arrhythmia detection algorithm is therefore helpful to the clinical diagnosis.

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49

Fang, Jing-Jhih, and 枋靚. "Measurement of Coefficient of Thermal Expansion by Digital Image Correlation." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/n4t5a8.

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碩士
國立雲林科技大學
機械工程系碩士班
101
The aims of this paper which divided a digital image correlation (DIC) into a two-step DIC and three-dimensional digital image correlation (3D-DIC) are to measure the coefficient of thermal expansion (CTE) of materials. First, a two-step DIC is applied to measure the CTE of three kinds of materials, aluminum, composite material, and polydimethylsiloxane (PDMS), respectively. Under temperature increments several images of deformed specimens are taken to search the displacement and strain, and then the CTE of the specimens could be calculated. In the two-step DIC, in addition to that strains are superimposed from the comparison of neighboring images, strains obtained from double regions are also used and compared. The measured CTE for aluminum specimen verifies the feasibility of this two-step DIC and the reliability of the strains obtained from either neighboring images or double regions. The measured CTE of carbon fiber reinforced composite material is close to zero or even a negative, and the change of the constituent fraction of PDMS specimens could vary their CTE. Second, 3D-DIC is used to measure the radius of a bottle with fixed curvature to verify this method. Moreover, three kinds of speckle patterns are investigated to compare their effects on the results of radius. The results indicate that the speckle patterns that are directly sprayed on the bottle have nice results on the obtained curvatures with the error of 0.372%. After the verification, the curvature of double materials is measured, and the CTE of the target material can be calculated. The double materials consisting of brass and resin are combined in a plate form in high temperature and then cooling to room temperature. Because of the difference on the CTE of these two materials, the fabricated double materials will produce curvature. 3D-DIC is applied to measure the radius of double materials and Stoney formula is used to calculate the CTE of resin, and the measured CTE of resin used in this paper is about 93~96×10^-6 m/℃.

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50

Cheng, Yi-Pin, and 鄭怡繽. "Implementation of Wireless Electrocardiogram Identification System Using Correlation Coefficient Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/vu6j5p.

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碩士
國立臺北科技大學
電腦與通訊研究所
102
Nowadays, people’s need for account and password has increased. To protect personal property safety or mechanism of internet security has also gradually played an important role. Calculating the differences of cardiac signals, using the cardiac signals to log in a complicated account as a password could be an outstanding way on recognizing identification. The uniqueness of everyone’s ECG provides users to access system as a key for preventing account embezzled. Traditional biometrics, such as fingerprint and iris identification required two dimensional data. However, ECG can recognize by only one dimensional data through algorithm calculating. Not only more convenient and faster, but also reduce the probable of counterfeit. The research is to use microcontroller integrate ECG amplifier, Bluetooth module and EEPROM to design an ECG measure and identification system. ECG signal is amplified by circuit and converted into a digital signal by 10-Bits analog to digital converter (ADC) of the microcontroller. The digital signals are processed by microcontroller. The signal processing is divided into two parts. The ECG optimized by using two windows value of different size for great identification process. The algorithm focused on removing the baseline drift and reduces the error. The second part is the identification of the ECG. By using correlation coefficient algorithm to identify the different between two ECG signals to reach detection. SPI and EEPROM are used for ECG signals storage and establish data base for further identifications. The HC05 Bluetooth module send ECG data by using UASRTS interface.

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