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Dissertations / Theses on the topic 'Error variance'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Alharbi, Yousef Fayz M. "Error variance estimation in nonparametric regression models." Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/4383/.

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In this thesis, we take a fresh look at the error variance estimation in nonparametric regression models. The requirement for a suitable estimator of error variance in nonparametric regression models is well known and hence several estimators are suggested in the literature. We review these estimators and classify them into two types. Of these two types, one is difference-based estimators, whereas the other is obtained by smoothing the residual squares. We propose a new class of estimators which, in contrast to the existing estimators, is obtained by smoothing the product of residual and respo

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2

Du, Jichang. "Covariate-matched estimator of the error variance in nonparametric regression." Diss., Online access via UMI:, 2007.

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3

Caples, Jerry Joseph. "Variance reduction and variable selection methods for Alho's logistic capture recapture model with applications to census data /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p9992762.

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4

Prasad, N. G. Narasimha Carleton University Dissertation Mathematics. "Small area estimation and measurement of response error variance in surveys." Ottawa, 1985.

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5

Dear, K. B. G. "A generalisation of mean squared error and its application to variance component estimation." Thesis, University of Reading, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379691.

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6

Moore, Joann Lynn. "Estimating standard errors of estimated variance components in generalizability theory using bootstrap procedures." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/860.

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This study investigated the extent to which rules proposed by Tong and Brennan (2007) for estimating standard errors of estimated variance components held up across a variety of G theory designs, variance component structures, sample size patterns, and data types. Simulated data was generated for all combinations of conditions, and point estimates, standard error estimates, and coverage for three types of confidence intervals were calculated for each estimated variance component and relative and absolute error variance across a variety of bootstrap procedures for each combination of conditions

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7

So, Yoon-Sup. "Prediction of cultivar performance and heterogeneity of genotype variance, correlation and error variance in the Iowa Crop Performance Tests-Corn (Zea mays L.)." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3355532.

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8

Patrick, Joshua Daniel. "Simulations to analyze Type I error and power in the ANOVA F test and nonparametric alternatives." [Pensacola, Fla.] : University of West Florida, 2009. http://purl.fcla.edu/fcla/etd/WFE0000158.

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9

Bosse, Anna L. "Comparing the Structural Components Variance Estimator and U-Statistics Variance Estimator When Assessing the Difference Between Correlated AUCs with Finite Samples." VCU Scholars Compass, 2017. https://scholarscompass.vcu.edu/etd/5194.

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Introduction: The structural components variance estimator proposed by DeLong et al. (1988) is a popular approach used when comparing two correlated AUCs. However, this variance estimator is biased and could be problematic with small sample sizes. Methods: A U-statistics based variance estimator approach is presented and compared with the structural components variance estimator through a large-scale simulation study under different finite-sample size configurations. Results: The U-statistics variance estimator was unbiased for the true variance of the difference between correlated AUCs regar

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10

Li, Zhijian. "On Applications of Semiparametric Methods." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1534258291194968.

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11

Majba, Christopher. "A Review of Uncertainty Quanitification of Estimation of Frequency Response Functions." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1346171022.

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12

Lin, Hui-Ling. "Jackknife Empirical Likelihood for the Variance in the Linear Regression Model." Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/math_theses/129.

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The variance is the measure of spread from the center. Therefore, how to accurately estimate variance has always been an important topic in recent years. In this paper, we consider a linear regression model which is the most popular model in practice. We use jackknife empirical likelihood method to obtain the interval estimate of variance in the regression model. The proposed jackknife empirical likelihood ratio converges to the standard chi-squared distribution. The simulation study is carried out to compare the jackknife empirical likelihood method and standard method in terms of coverage pr

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13

Halldestam, Markus. "ANOVA - The Effect of Outliers." Thesis, Uppsala universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295864.

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This bachelor’s thesis focuses on the effect of outliers on the one-way analysis of variance and examines whether the estimate in ANOVA is robust and whether the actual test itself is robust from influence of extreme outliers. The robustness of the estimates is examined using the breakdown point while the robustness of the test is examined by simulating the hypothesis test under some extreme situations. This study finds evidence that the estimates in ANOVA are sensitive to outliers, i.e. that the procedure is not robust. Samples with a larger portion of extreme outliers have a higher type-I er

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14

Yockey, Ron David. "An investigation of the type I error rates and power of standard and alternative multivariate tests on means under homogeneous and heterogeneous covariance matrices and multivariate normality and nonnormality /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p9992945.

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15

Anderson, Travis V. "Efficient, Accurate, and Non-Gaussian Error Propagation Through Nonlinear, Closed-Form, Analytical System Models." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2675.

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Uncertainty analysis is an important part of system design. The formula for error propagation through a system model that is most-often cited in literature is based on a first-order Taylor series. This formula makes several important assumptions and has several important limitations that are often ignored. This thesis explores these assumptions and addresses two of the major limitations. First, the results obtained from propagating error through nonlinear systems can be wrong by one or more orders of magnitude, due to the linearization inherent in a first-order Taylor series. This thesis prese

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Ménétrier, Benjamin. "Utilisation d'une assimilation d'ensemble pour modéliser des covariances d'erreur d'ébauche dépendantes de la situation météorologique à échelle convective." Thesis, Toulouse, INPT, 2014. http://www.theses.fr/2014INPT0052/document.

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L'assimilation de données vise à fournir aux modèles de prévision numérique du temps un état initial de l'atmosphère le plus précis possible. Pour cela, elle utilise deux sources d'information principales : des observations et une prévision récente appelée "ébauche", toutes deux entachées d'erreurs. La distribution de ces erreurs permet d'attribuer un poids relatif à chaque source d'information, selon la confiance que l'on peut lui accorder, d'où l'importance de pouvoir estimer précisément les covariances de l'erreur d'ébauche. Les méthodes de type Monte-Carlo, qui échantillonnent ces covarian

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17

Ozol-Godfrey, Ayca. "Understanding Scaled Prediction Variance Using Graphical Methods for Model Robustness, Measurement Error and Generalized Linear Models for Response Surface Designs." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/30185.

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Graphical summaries are becoming important tools for evaluating designs. The need to compare designs in term of their prediction variance properties advanced this development. A recent graphical tool, the Fraction of Design Space plot, is useful to calculate the fraction of the design space where the scaled prediction variance (SPV) is less than or equal to a given value. In this dissertation we adapt FDS plots, to study three specific design problems: robustness to model assumptions, robustness to measurement error and design properties for generalized linear models (GLM). This dissertation p

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Ulgen, Burcin Emre. "Estimation In The Simple Linear Regression Model With One-fold Nested Error." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/3/12606171/index.pdf.

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In this thesis, estimation in simple linear regression model with one-fold nested error is studied. To estimate the fixed effect parameters, generalized least squares and maximum likelihood estimation procedures are reviewed. Moreover, Minimum Norm Quadratic Estimator (MINQE), Almost Unbiased Estimator (AUE) and Restricted Maximum Likelihood Estimator (REML) of variance of primary units are derived. Also, confidence intervals for the fixed effect parameters and the variance components are studied. Finally, the aforesaid estimation techniques and confidence intervals are applied to a real-life

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MARAKBI, ZAKARIA. "Mean-Variance Portfolio Optimization : Challenging the role of traditional covariance estimation." Thesis, KTH, Industriell Marknadsföring och Entreprenörskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199185.

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Ever since its introduction in 1952, the Mean-Variance (MV) portfolio selection theory has remained a centerpiece within the realm of e_cient asset allocation. However, in scienti_c circles, the theory has stirred controversy. A strand of criticism has emerged that points to the phenomenon that Mean-Variance Optimization su_ers from the severe drawback of estimation errors contained in the expected return vector and the covariance matrix, resulting in portfolios that may signi_cantly deviate from the true optimal portfolio. While a substantial amount of e_ort has been devoted to estimating the

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20

Olson, Brent. "Evaluating the error of measurement due to categorical scaling with a measurement invariance approach to confirmatory factor analysis." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/332.

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It has previously been determined that using 3 or 4 points on a categorized response scale will fail to produce a continuous distribution of scores. However, there is no evidence, thus far, revealing the number of scale points that may indeed possess an approximate or sufficiently continuous distribution. This study provides the evidence to suggest the level of categorization in discrete scales that makes them directly comparable to continuous scales in terms of their measurement properties. To do this, we first introduced a novel procedure for simulating discretely scaled data that was both i

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21

Wonnapinij, Passorn. "Theoretical and Statistical Approaches to Understand Human Mitochondrial DNA Heteroplasmy Inheritance." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/27136.

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Mitochondrial DNA (mtDNA) mutations have been widely observed to cause a variety of human diseases, especially late-onset neurodegenerative disorders. The prevalence of mitochondrial diseases caused by mtDNA mutation is approximately 1 in 5,000 of the population. There is no effective way to treat patients carrying pathogenic mtDNA mutation; therefore preventing transmission of mutant mtDNA became an important strategy. However, transmission of human mtDNA mutation is complicated by a large intergenerational random shift in heteroplasmy level causing uncertainty for genetic counseling. The aim

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22

An, Qian. "A Monte Carlo study of several alpha-adjustment procedures using a testing multiple hypotheses in factorial anova." Ohio : Ohio University, 2010. http://www.ohiolink.edu/etd/view.cgi?ohiou1269439475.

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23

Rafiq, Shuddhasattwa. "Oil consumption, pollutant emission, oil proce volatility and economic activities in selected Asian Developing Economies." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/693.

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It is now well established in the literature that oil consumption, oil price shocks, and oil price volatility may impact the economic activities negatively. Studies identifying the relationship between energy and/or oil consumption and output primarily take two different approaches. One approach includes energy or oil consumption in addition to output, labour, and capital. The other approach takes energy and/or oil, output and prices. Based on these two models most of the previous studies suggest energy conservation policies for different economies. However, none of the previous studies consid

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24

Lundquist, Peter. "Estimating Interviewer Effects in Sample Surveys : Some Contributions." Doctoral thesis, Stockholm : Department of Statistics, Stockholm University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1295.

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25

Vaz, Marcos André Braz. "PODER ESTATÍSTICO E COEFICIENTE DE VARIAÇÃO EM EXPERIMENTOS COM BOVINOS DE CORTE." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/4386.

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This study was conducted to estimate power of tests in Analysis of Variance (ANOVA) in beef cattle experiments, determine sample size and classify the coefficient of variation. Data was collected from thesis and dissertations of the Program of Post-Graduation in Animal Science of Federal University of Santa Maria (PPGZ-UFSM) among the years of 1991 to 2012, in beef cattle production area using ANOVA. Power was estimated by assumption of non central F distribution to the alternative hypothesis in ANOVA. The number of replications for treatments was estimated by power of 80% and interval of [0,4

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26

Stefan, Marius. "Contributions à l'estimation pour petits domaines." Doctoral thesis, Universite Libre de Bruxelles, 2005. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210911.

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Dans la thèse nous nous occupons de l'estimation de la moyenne d'un petit domaine sous un modèle one-fold et utilisant MINQUE pour estimer les composantes de la variance, sous un modèle two-fold avec variances aléatoires, sous des plans noninformatifs et informatifs.<br>Doctorat en sciences, Orientation statistique<br>info:eu-repo/semantics/nonPublished

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27

Agbenyegah, Benjamin K. "An econometric approach to measuring productivity: Australia as a case study." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/219.

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Seminal papers of Solow (1957) and Swan (1956) stimulated debate among economists on the role of technical change in productivity improvements and for that matter economic growth. The consensus is that technological change accounts for a significant proportion of gross national product (GNP) growth in industrialised economies. In the case of Australia, the aggregate productivity performance was poor in the 1970s and 1980s, but picked up very strongly by the 1990s, and was above the OECD average growth level for the first time in its productivity growth history. However, this high productivity

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28

Akpan, Nkereuwem I. "The Impact of External Shocks on Nigeria’s GDP Performance within the Context of the Global Financial Crisis." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17454.

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This research examines the impact of external shocks on Nigeria’s output performance for the period 1981 – 2015. It aims to bring to the fore the importance of considering external shocks during policy design and implementation. The multivariate VAR and VECM frameworks were used to evaluate the impact of the shock variables on Nigeria’s output performance and to achieve the stated objectives. Findings show that the external shock and domestic policy variables have short-run effects on Nigeria’s output performance. Also, all the measures of external shocks and domestic policies display some via

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29

Yagüe, Edgar Cámara, and José Manuel Menéndez Carretero. "Transparent Satellite Switching using Flexible Frequency-band Reallocation." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6856.

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<p>The society expects a global interconected digital communication system offering multimedia services, information on demand and interchange of information with a high data rates and low cost. </p><p>All this can not be realized with the terrestrial nets used nowadays cause it is necessary a high economic inversion to get a competitive capacity to interchange information between server and user. The next generation of satellite must have characteristics which improve the current generation, one important requirement is that the same satellite could make a treatment of the different input si

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30

Agbenyegah, Benjamin Komla. "An econometric approach to measuring productivity : Australia as a case study /." Curtin University of Technology, School of Economics and Finance, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=17375.

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Seminal papers of Solow (1957) and Swan (1956) stimulated debate among economists on the role of technical change in productivity improvements and for that matter economic growth. The consensus is that technological change accounts for a significant proportion of gross national product (GNP) growth in industrialised economies. In the case of Australia, the aggregate productivity performance was poor in the 1970s and 1980s, but picked up very strongly by the 1990s, and was above the OECD average growth level for the first time in its productivity growth history. However, this high productivity

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31

Bekli, Zeid, and William Ouda. "A performance measurement of a Speaker Verification system based on a variance in data collection for Gaussian Mixture Model and Universal Background Model." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20122.

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Voice recognition has become a more focused and researched field in the last century,and new techniques to identify speech has been introduced. A part of voice recognition isspeaker verification which is divided into Front-end and Back-end. The first componentis the front-end or feature extraction where techniques such as Mel-Frequency CepstrumCoefficients (MFCC) is used to extract the speaker specific features of a speech signal,MFCC is mostly used because it is based on the known variations of the humans ear’scritical frequency bandwidth. The second component is the back-end and handles thes

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Muyas, Remolar Francesc 1992. "Highly accurate variant detection for identification of tumor mutations and mosaic variants." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/668325.

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The rapid development of high-throughput sequencing technologies pushed forward the fields of medical genomics and precision medicine, creating many new applications for diagnostics and clinical studies that require high quality data and highly accurate analysis methods. Distinguishing errors from real variants in Next Generation Sequencing data is a challenge when systematic errors, random sequencing errors, germline variants or somatic variants at very low allele frequency are present in the same data. In the first part of this thesis, we developed a genotype callability filter (ABB) able to

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33

Zhang, Angang. "Some Advances in Classifying and Modeling Complex Data." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/77958.

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In statistical methodology of analyzing data, two of the most commonly used techniques are classification and regression modeling. As scientific technology progresses rapidly, complex data often occurs and requires novel classification and regression modeling methodologies according to the data structure. In this dissertation, I mainly focus on developing a few approaches for analyzing the data with complex structures. Classification problems commonly occur in many areas such as biomedical, marketing, sociology and image recognition. Among various classification methods, linear classifiers ha

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34

Jadhav, Pravin R. "COMPARISON OF LONGITUDINAL AND CONVENTIONAL DATA ANALYSIS METHODS FOR ASSESSING EFFECTIVENESS." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd_retro/139.

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Pharmaceutical drug development is a costly and time consuming process. Reportedly, it takes about 10-15 years and ~900 million dollars of investment to launch a new drug in the world market. Any measure that increases the power and also decreases uncertainty about that power also increases drug net present value. For some time now, it has been argued that judicious utilization of available data might lead to more efficient use of resources during drug development. Conventionally, assessment of effectiveness has been based on comparing change from baseline at some pre-specified time for the co

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35

Moore, Linda Jennifer. "Impact of Phase Information on Radar Automatic Target Recognition." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480434103611127.

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36

Akdemir, Deniz. "Components Of Response Variance For Cluster Samples." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1206044/index.pdf.

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Measures of data quality are important for the evaluation and improvement of survey design and procedures. A detailed investigation of the sources, magnitude and impact of errors is necessary to identify how survey design and procedures may be improved and how resources allocated more efficiently among various aspects of the survey operation. A major part of this thesis is devoted to the overview of statistical theory and methods for measuring the contribution of response variability to the overall error of a survey. A very common practice in surveys is to select groups (clusters) of elements

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Sazak, Hakan Savas. "Estimation And Hypothesis Testing In Stochastic Regression." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/3/724294/index.pdf.

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Regression analysis is very popular among researchers in various fields but almost all the researchers use the classical methods which assume that X is nonstochastic and the error is normally distributed. However, in real life problems, X is generally stochastic and error can be nonnormal. Maximum likelihood (ML) estimation technique which is known to have optimal features, is very problematic in situations when the distribution of X (marginal part) or error (conditional part) is nonnormal. Modified maximum likelihood (MML) technique which is asymptotically giving the estimators equivalent to

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38

Wolff, Laion. "RELAÇÃO ENTRE AS DEZ PRINCIPAIS BOLSAS DE VALORES DO MUNDO E SUAS CO-INTEGRAÇÕES." Universidade Federal de Santa Maria, 2011. http://repositorio.ufsm.br/handle/1/8207.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Globalization provoked in financial markets by means stock exchanges an interchange among the markets over the world. The aim of this study was to examine the relationship of the ten major main economic index of the world represented in New York (DJIA, S&P500 e Nasdaq), Tokyo (NIKKEI 225), London (FSTE 100), São Paulo (IBOV), Shanghai (SSE180), Paris (CAC-40), Frankfurt (DAX-30) and Buenos Aires (Merval) and looking for its co-integration, to demonstrate the behavior of these indexes and the long run equilibrium, from January of 20

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Kamat, Niranjan Ganesh. "Sampling-based Techniques for Interactive Exploration of Large Datasets." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523552932728325.

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Nesbitt, Tess Alexandra. "Cost-sensitive tree-stacking learning with variable prediction error costs /." Diss., Restricted to subscribing institutions, 2010. http://proquest.umi.com/pqdweb?did=2026906691&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Humphreys, Keith. "Latent variable models for discrete longitudinal data with measurement error." Thesis, University of Southampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295045.

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42

Rosca, Georgiana-Miruna. "On algebraic variants of Learning With Errors." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEN063.

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La cryptographie à base de réseaux euclidiens repose en grande partie sur l’utilisation du problème Learning With Errors (LWE) comme fondation de sécurité. Ce problème est au moins aussi difficile que les problèmes standards portant sur les réseaux, mais les primitives cryptographiques qui l’utilisent sont inefficaces en termes de consommation en temps et en espace. Les problèmes Polynomial Learning WithErrors (PLWE), dual Ring Learning With Errors (dual-RLWE) et primal Ring Learning With Errors(primal-RLWE) sont trois variantes de LWE qui utilisent des structures algébriques supplémentaires a

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Mallmann, Adriano Olnei. "Comparação da eficiência de dois planos de amostragem de milho para análise de micotoxinas." Universidade Federal de Santa Maria, 2012. http://repositorio.ufsm.br/handle/1/10129.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The aim of this research was to evaluate variability and performance of two maize sampling plans for mycotoxins quantification. Eleven maize lots were sampled using two distinct sampling methods: manual, using a sampling spear, and automatic, using a continuous flow sampling. Total variability and variability from each step of the analysis procedure (sampling, sample preparation, and analysis) for results of aflatoxins, fumonisin, and zearalenone were determined in 8, 11, and 5 lots respectively for each sampling plan. Those

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Ganeshanandam, S. "Variable selection in two-group discriminant analysis using the linear discriminant function." Thesis, University of Reading, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379265.

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Öhman, Marie-Louise. "Aspects of analysis of small-sample right censored data using generalized Wilcoxon rank tests." Doctoral thesis, Umeå universitet, Statistiska institutionen, 1994. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-7313.

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The estimated bias and variance of commonly applied and jackknife variance estimators and observed significance level and power of standardised generalized Wilcoxon linear rank sum test statistics and tests, respectively, of Gehan and Prentice are compared in a Monte Carlo simulation study. The variance estimators are the permutational-, the conditional permutational- and the jackknife variance estimators of the test statistic of Gehan, and the asymptotic- and the jackknife variance estimators of the test statistic of Prentice. In unbalanced small sample size problems with right censoring, the

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Tirler, Günter, Peter Dalgaard, Wolfgang Hörmann, and Josef Leydold. "An Error in the Kinderman-Ramage Method and How to Fix It." Department of Statistics and Mathematics, Abt. f. Angewandte Statistik u. Datenverarbeitung, WU Vienna University of Economics and Business, 2003. http://epub.wu.ac.at/218/1/document.pdf.

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An error in the Gaussian random variate generator by Kinderman and Ramage is described that results in the generation of random variates with an incorrect distribution. An additional statement that corrects the original algorithm is given.<br>Series: Preprint Series / Department of Applied Statistics and Data Processing

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Gu, Yuanyuan Economics Australian School of Business UNSW. "Misclassification of the dependent variable in binary choice models." Awarded by:University of New South Wales. Economics, 2006. http://handle.unsw.edu.au/1959.4/26218.

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Survey data are often subject to a number of measurement errors. The measurement error associated with a multinomial variable is called a misclassification error. In this dissertation we study such errors when the outcome is binary. It is known that ignoring such misclassification errors may affect the parameter estimates, see for example Hausman, Abrevaya and Scott-Morton (1998). However, previous studies showed that robust estimation of the parameters is achievable if we take misclassification into account. There are many attempts to do so in the literature and the major problem in implement

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Strobel, Matthias. "Estimation of minimum mean squared error with variable metric from censored observations." [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-35333.

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Carlsson, Martin. "Variance Estimation of the Calibration Estimator with Measurement Errors in the Auxiliary Information." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-68928.

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Gatton, Tim. "BEST SOURCE SELECTORS AND MEASURING THE IMPROVEMENTS." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604871.

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Abstract:

ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>After years of tracing the evolution and solutions to finding the best data, I learned that it isn’t best source selection that we all want. What we need is best data selection.

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