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Dissertations / Theses on the topic 'Confidence intervals'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Turner, Heather Jean. "A Performance Evaluation of Confidence Intervals for Ordinal Coefficient Alpha." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc801899/.

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Ordinal coefficient alpha is a newly derived non-parametric reliability estimate. As with any point estimate, ordinal coefficient alpha is merely an estimate of a population parameter and tends to vary from sample to sample. Researchers report the confidence interval to provide readers with the amount of precision obtained. Several methods with differing computational approaches exist for confidence interval estimation for alpha, including the Fisher, Feldt, Bonner, and Hakstian and Whalen (HW) techniques. Overall, coverage rates for the various methods were unacceptably low with the Fisher me

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2

Karch, Angela Irene. "Confidence intervals in life-testing." Virtual Press, 1986. http://liblink.bsu.edu/uhtbin/catkey/458972.

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The purpose of the study was to develop a sequential test method for obtaining a confidence interval in life-testing. The problem of using a maximum likelihood estimator based upon grouped data was considered. Life-times that were investigated are described by the exponential distribution. The sequential test used the length of the confidence interval as a stopping rule.The test method and necessary calculations were described. The results of using different length values as a stopping rule were compared using a computer simulation. Results are indicated in two categories: percent of time the

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3

Yu, Zhuqing, and 俞翥清. "Uniformly consistent bootstrap confidence intervals." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B47752993.

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The bootstrap methods are widely used for constructing confidence intervals. However, the conventional bootstrap fails to be consistent under some nonstandard circumstances. The m out of n bootstrap is usually adopted to restore consistency, provided that a correct convergence rate can be specified for the plug-in estimators. In this thesis, we re-investigate the asymptotic properties of the bootstrap in a moving-parameter framework in which the underlying distribution is allowed to depend on n. We consider the problem of setting uniformly consistent confidence intervals for two non-re

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4

Huang, Ching-ying Maghsoodloo Saeed. "Comparing the overlapping of two independent confidence intervals with a single confidence interval for two normal population parameters." Auburn, Ala, 2008. http://hdl.handle.net/10415/1480.

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5

Sak, Halis, Wolfgang Hörmann, and Josef Leydold. "Better Confidence Intervals for Importance Sampling." WU Vienna University of Economics and Business, 2010. http://epub.wu.ac.at/3017/1/techreport%2D106.pdf.

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It is well known that for highly skewed distributions the standard method of using the t statistic for the confidence interval of the mean does not give robust results. This is an important problem for importance sampling (IS) as its final distribution is often skewed due to a heavy tailed weight distribution. In this paper, we first explain Hall's transformation and its variants to correct the confidence interval of the mean and then evaluate the performance of these methods for two numerical examples from finance which have closed-form solutions. Finally, we assess the performance of these m

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6

Erlank, Warrick. "Constructing confidence intervals for polarization mode dispersion." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/951.

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Polarization mode dispersion (PMD) causes significant impairment in high bit-rate optical telecommunications systems. Knowledge of a fibre’s PMD mean value, and the relevant confidence interval, is essential for determining a fibre’s maximum allowable bit-rate. Various methods of confidence interval construction for time series data were tested in this dissertation using simulation. These included the autocovariance-matrix methods as suggested by Box and Jenkins, as well as the more practical and simpler batch means methods. Some of these methods were shown to be significantly better than the

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7

De, La Riva Torres Omar. "Empirical likelihood confidence intervals for survey data." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/374699/.

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8

Nandeshwar, Ashutosh R. "Models for calculating confidence intervals for neural networks." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4600.

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Thesis (M.S.)--West Virginia University, 2006.<br>Title from document title page. Document formatted into pages; contains x, 65 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 62-65).

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9

Hansson, Patrik. "A naïve sampling model of intuitive confidence intervals." Doctoral thesis, Umeå University, Psychology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1354.

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<p>A particular field in research on judgment and decision making (JDM) is concerned with realism of confidence in one’s knowledge. An interesting finding is the so-called format dependence effect, which implies that assessment of the same probability distribution generates different conclusions about over- or underconfidence depending on the assessment format. In particular, expressing a belief about some unknown continuous quantity (e.g., a stock value) in the form of an intuitive confidence interval is severely prone to overconfidence as compared to expressing the belief as an assessment of

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10

Hansson, Patrik. "A naïve sampling model of intuitive confidence intervals /." Umeå : Department of Psychology, Umeå University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1354.

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11

Belinga-Hill, Nelly E. "Empirical Likelihood Confidence Intervals for Generalized Lorenz Curve." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/math_theses/38.

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Lorenz curves are extensively used in economics to analyze income inequality metrics. In this thesis, we discuss confidence interval estimation methods for generalized Lorenz curve. We first obtain normal approximation (NA) and empirical likelihood (EL) based confidence intervals for generalized Lorenz curves. Then we perform simulation studies to compare coverage probabilities and lengths of the proposed EL-based confidence interval with the NA-based confidence interval for generalized Lorenz curve. Simulation results show that the EL-based confidence intervals have better coverage probabilit

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12

Thulin, Måns. "On Confidence Intervals and Two-Sided Hypothesis Testing." Doctoral thesis, Uppsala universitet, Tillämpad matematik och statistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-229399.

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This thesis consists of a summary and six papers, dealing with confidence intervals and two-sided tests of point-null hypotheses. In Paper I, we study Bayesian point-null hypothesis tests based on credible sets. A decision-theoretic justification for tests based on central credible intervals is presented. Paper II is concerned with a new two-sample test for the difference of mean vectors, in the high-dimensional setting where the number of variables is greater than the sample size. A simulation study indicates that the proposed test yields higher power when the variables are correlated. Comput

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13

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<br>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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14

Eliason, Kiya Lynn. "Addressing Pre-Service Teachers' Misconceptions About Confidence Intervals." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6917.

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Increased attention to statistical concepts has been a prevalent trend in revised mathematics curricula across grade levels. However, the preparation of secondary school mathematics educators has not received similar attention, and learning opportunities provided to these educators is oftentimes insufficient for teaching statistics well. The purpose of this study is to analyze pre-service teachers' conceptions about confidence intervals. This research inquired about statistical reasoning from the perspective of students majoring in mathematics education enrolled in an undergraduate statistics

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15

Jin, Shaobo. "Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions." Uppsala universitet, Statistiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200550.

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16

Cheng, Chuchu. "Bootstrap Confidence Intervals of Fit Indexes: A Comprehensive Study." Thesis, Boston College, 2021. http://hdl.handle.net/2345/bc-ir:109088.

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Thesis advisor: Hao Wu<br>Thesis advisor: Ehri Ryu<br>In SEM, fit indexes provide useful information about how well a hypothesized model fits the population. Bootstrap has been applied to construct confidence internals for fit indexes. We proposed the most recent method for constructing confidence intervals (CIs) of fit indexes (Cheng & Wu, 2017): the bootstrap-test-based method. This dissertation includes the most popular bootstrap CI methods and the bootstrap-test-based method. In addition to the percentile bootstrap CI method used in Zhang and Savalei (2016), we also included other popu

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17

Faury, Louis. "Variance-sensitive confidence intervals for parametric and offline bandits." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT046.

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Cette thèse présente des contributions récentes au problème d’optimisation sous feedback bandit, au travers de la construction d’intervalles de confiance sensibles à la variance. Nous traitons deux aspects distincts du problème: (1) la minimisation du regret pour les bandits à modèle linéaire généralisé (GLBs), une large classe de bandits paramétriques non-linéaires et (2) le problème d’optimisation de politique hors ligne sous signal bandit. Concernant (1) nous étudions les effets de la non-linéarité dans les GLBs et remettons en question la compréhension actuelle selon laquelle des hauts niv

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18

Mancill, Paul Anthony. "An exploration of naïve Bayesian classification augmented with confidence intervals." Pullman, Wash. : Washington State University, 2010. http://www.dissertations.wsu.edu/Thesis/Summer2010/p_mancill_041310.pdf.

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Thesis (M.S. in computer science)--Washington State University, May 2010.<br>Title from PDF title page (viewed on May 14, 2010). "School of Engineering and Computer Science." Includes bibliographical references (p. 85-90).

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19

Yang, Hanfang. "Empirical Likelihood Confidence Intervals for ROC Curves Under Right Censorship." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/math_theses/91.

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In this thesis, we apply smoothed empirical likelihood method to investigate confidence intervals for the receiver operating characteristic (ROC) curve with right censoring. As a particular application of comparison of distributions from two populations, the ROC curve is constructed by the combination of cumulative distribution function and quantile function. Under mild conditions, the smoothed empirical likelihood ratio converges to chi-square distribution, which is the well-known Wilks's theorem. Furthermore, the performances of the empirical likelihood method are also illustrated by simulat

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20

An, Yueheng. "Empirical Likelihood Confidence Intervals for ROC Curves with Missing Data." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/95.

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The receiver operating characteristic, or the ROC curve, is widely utilized to evaluate the diagnostic performance of a test, in other words, the accuracy of a test to discriminate normal cases from diseased cases. In the biomedical studies, we often meet with missing data, which the regular inference procedures cannot be applied to directly. In this thesis, the random hot deck imputation is used to obtain a 'complete' sample. Then empirical likelihood (EL) confidence intervals are constructed for ROC curves. The empirical log-likelihood ratio statistic is derived whose asymptotic distribution

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21

Tercan, Abdullah Erhan. "Nonparametric methods for estimating conditional distributions and local confidence intervals." Thesis, University of Leeds, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423758.

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22

FRANCO, GLAURA DA CONCEICAO. "BOOTSTRAP IN STRUCTURAL MODELS: BUILDING CONFIDENCE INTERVALS AND HYPOTHESIS TESTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1998. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8614@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>O uso da técnica bootstrap para construção de intervalos de confiança e testes de hipóteses vem aumentando consideravelmente desde seu surgimento, em 1979, devido principalmente ao rápido avanço computacional ocorrido nas últimas décadas. Neste trabalho utilizamos o bootstrap paramétrico e não-paramétrico para estudar o comportamento dos hiperparametros em modelos de espaço de estados nos casos de nível e tendência linear locais. Intervalos de confiança baseados em quatro métodos bootstrap diferentes são calculados e comp

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23

Kirchoff, Retha. "Confidence intervals for estimators of welfare indices under complex sampling." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4351.

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Thesis (MComm (Statistics and Actuarial Science))--University of Stellenbosch, 2010.<br>ENGLISH ABSTRACT: The aim of this study is to obtain estimates and confidence intervals for welfare indices under complex sampling. It begins by looking at sampling in general with specific focus on complex sampling and weighting. For the estimation of the welfare indices, two resampling techniques, viz. jackknife and bootstrap, are discussed. They are used for the estimation of bias and standard error under simple random sampling and complex sampling. Three con dence intervals are discussed, viz. stan

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24

Zhang, Xiao. "Confidence Intervals for Population Size in a Capture-Recapture Problem." Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etd/2022.

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In a single capture-recapture problem, two new Wilson methods for interval estimation of population size are derived. Classical Chapman interval, Wilson and Wilson-cc intervals are examined and compared in terms of their expected interval width and exact coverage properties in two models. The new approach performs better than the Chapman in each model. Bayesian analysis also gives a different way to estimate population size.

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25

Carpenter, James R. "Simulated confidence regions for parameters in epidemiological models." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320182.

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26

deCamp, Philip Draper. "The efficiency of nonparametric inference methods based on confidence interval lengths." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/25510.

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27

Robinson, Jennifer. "The construction of joint confidence sets for the comparison of two exponential distributions." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/25216.

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28

Jerome, Guensley. "A Comparison of Some Confidence Intervals for Estimating the Kurtosis Parameter." FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3489.

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Several methods have been proposed to estimate the kurtosis of a distribution. The three common estimators are: g2, G2 and b2. This thesis addressed the performance of these estimators by comparing them under the same simulation environments and conditions. The performance of these estimators are compared through confidence intervals by determining the average width and probabilities of capturing the kurtosis parameter of a distribution. We considered and compared classical and non-parametric methods in constructing these intervals. Classical method assumes normality to construct the confidenc

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29

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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30

Hua, Jianjun. "Confidence intervals for population size based on a capture-recapture design." Kansas State University, 2011. http://hdl.handle.net/2097/13103.

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Master of Science<br>Department of Statistics<br>Paul I. Nelson<br>Capture-Recaputre (CR) experiments stemmed from the study of wildlife and are widely used in areas such as ecology, epidemiology, evaluation of census undercounts, and software testing, to estimate population size, survival rate, and other population parameters. The basic idea of the design is to use “overlapping” information contained in multiple samples from the population. In this report, we focus on the simplest form of Capture-Recapture experiments, namely, a two-sample Capture-Recapture design, which is conventionall

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31

Iacianci, Bryon C. "Confidence Intervals on Cost Estimates When Using a Feature-based Approach." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939.

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32

Lee, Ihn Shik. "A Simulation Study Comparing Various Confidence Intervals for the Mean of Voucher Populations in Accounting." Thesis, University of North Texas, 1992. https://digital.library.unt.edu/ark:/67531/metadc278972/.

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This research examined the performance of three parametric methods for confidence intervals: the classical, the Bonferroni, and the bootstrap-t method, as applied to estimating the mean of voucher populations in accounting. Usually auditing populations do not follow standard models. The population for accounting audits generally is a nonstandard mixture distribution in which the audit data set contains a large number of zero values and a comparatively small number of nonzero errors. This study assumed a situation in which only overstatement errors exist. The nonzero errors were assumed to be n

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Mbowe, Omar B. "A Study of the Mean Residual Life Function and Its Applications." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/math_theses/11.

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The mean residual life (MRL) function is an important function in survival analysis, actuarial science, economics and other social sciences and reliability for characterizing lifetime. Different methods have been proposed for doing inference on the MRL but their coverage probabilities for small sample sizes are not good enough. In this thesis we apply the empirical likelihood method and carry out a simulation study of the MRL function using different statistical distributions. The simulation study does a comparison of the empirical likelihood method and the normal approximation method. The com

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Lok, Wing-sze. "Statistical depth functions and depth-based robustness diagnosis." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B34838260.

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Lok, Wing-sze, and 駱穎思. "Statistical depth functions and depth-based robustness diagnosis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B34838260.

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Liu, Xiaoxia. "Semi-Empirical Likelihood Confidence Intervals for the ROC Curve with Missing Data." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/math_theses/89.

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The receiver operating characteristic (ROC) curve is one of the most commonly used methods to compare the diagnostic performances of two or more laboratory or diagnostic tests. In this thesis, we propose semi-empirical likelihood based confidence intervals for ROC curves of two populations, where one population is parametric while the other one is non-parametric and both populations have missing data. After imputing missing values, we derive the semi-empirical likelihood ratio statistic and the corresponding likelihood equations. It has been shown that the log-semi-empirical likelihood ratio s

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Binyavanga, Kamanzi-wa. "Edgeworth-corrected small-sample confidence intervals for ratio parameters in linear regression." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52814.

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Dissertation (PhD)--Stellenbosch University, 2002.<br>ENGLISH ABSTRACT: In this thesis we construct a central confidence interval for a smooth scalar non-linear function of parameter vector f3 in a single general linear regression model Y = X f3 + c. We do this by first developing an Edgeworth expansion for the distribution function of a standardised point estimator. The confidence interval is then constructed in the manner discussed. Simulation studies reported at the end of the thesis show the interval to perform well in many small-sample situations. Central to the development of the E

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Almonte, Cherylyn. "Small sample confidence intervals for the mean of a positively skewed distribution." FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/1074.

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This thesis proposes some confidence intervals for the mean of a positively skewed distribution. The following confidence intervals are considered: Student-t, Johnson-t, median-t, mad-t, bootstrap-t, BCA, T1 , T3 and six new confidence intervals, the median bootstrap-t, mad bootstrap-t, median T1, mad T1 , median T3 and the mad T3. A simulation study has been conducted and average widths, coefficient of variation of widths, and coverage probabilities were recorded and compared across confidence intervals. To compare confidence intervals, the width and coverage probabilities were compared so th

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Zhou, Haochuan. "New Non-Parametric Confidence Interval for the Youden." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/math_theses/56.

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Youden index, a main summary index for the Receiver Operating Characteristic (ROC) curve, is a comprehensive measurement for the effectiveness of a diagnostic test. For a continuous-scale diagnostic test, the optimal cut-point for the positive of disease is the cut-point leading to the maximization of the sum of sensitivity and specificity. Finding the Youden index of the test is equivalent to maximize the sum of sensitivity and specificity for all the possible values of the cut-point. In this thesis, we propose a new non-parametric confidence interval for the Youden index. Extensive simulatio

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Shah, Shruti Mukesh. "The Relation Between Birth Order and Confidence in Expressed Judgments." Thesis, The University of Arizona, 2015. http://hdl.handle.net/10150/607075.

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The aim of this study was to establish whether a relation between confidence in judgments and decisions is affected when individuals are made aware of their birth order position. Students from The University of Arizona were recruited and asked to give upper- and lower-bound ranges for a guess before and after a subtle birth order reminder. Participants also completed The General Decision Making Style questionnaire to determine whether any style correlated with birth order position. It was discovered that no statistically significant relationship was found between reminder of birth order

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Noma, Hisashi. "Confidence intervals for a random-effects meta-analysis based on Bartlett-type corrections." 京都大学 (Kyoto University), 2011. http://hdl.handle.net/2433/152046.

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Davis, Angela Elaine. "Empirical Likelihood Confidence Intervals for the Sensitivity of a Continuous-Scale Diagnostic Test." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/math_theses/30.

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Diagnostic testing is essential to distinguish non-diseased individuals from diseased individuals. More accurate tests lead to improved treatment and thus reduce medical mistakes. The sensitivity and specificity are two important measurements for the diagnostic accuracy of a diagnostic test. When the test results are continuous, it is of interest to construct a confidence interval for the sensitivity at a fixed level of specificity for the test. In this thesis, we propose three empirical likelihood intervals for the sensitivity. Simulation studies are conducted to compare the empirical likelih

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Zhao, Meng. "Empirical Likelihood Confidence Intervals for the Ratio and Difference of Two Hazard Functions." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/math_theses/57.

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In biomedical research and lifetime data analysis, the comparison of two hazard functions usually plays an important role in practice. In this thesis, we consider the standard independent two-sample framework under right censoring. We construct efficient and useful confidence intervals for the ratio and difference of two hazard functions using smoothed empirical likelihood methods. The empirical log-likelihood ratio is derived and its asymptotic distribution is a chi-squared distribution. Furthermore, the proposed method can be applied to medical diagnosis research. Simulation studies show tha

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Yau, Crystal Cho Ying. "Empirical Likelihood Confidence Intervals for the Difference of Two Quantiles with Right Censoring." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/math_theses/64.

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In this thesis, we study two independent samples under right censoring. Using a smoothed empirical likelihood method, we investigate the difference of quantiles in the two samples and construct the pointwise confidence intervals from it as well. The empirical log-likelihood ratio is proposed and its asymptotic limit is shown as a chi-squared distribution. In the simulation studies, in terms of coverage accuracy and average length of confidence intervals, we compare the empirical likelihood and the normal approximation method. It is concluded that the empirical likelihood method has a better pe

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Manion, Robert B. "Number of samples needed to obtain desired Bayesian confidence intervals for a proportion/." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23330.

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This thesis analyzes a Bayesian method for determining the number of samples that are needed to produce a desired confidence interval size for a proportion or probability. It compares the necessary sample size from Bayesian methods with that from classical methods and develops computer programs relating sample size and confidence interval size when a Beta prior distribution is employed. Tables and graphs are developed to assist an experimenter in determining the number of samples needed to produce desired confidence in this estimate of a proportion or probability. Keywords: Theses; Decision ma

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Nikouukar-Zanjani, Masoud. "On fixed-width simultaneous confidence intervals for multiple comparisons and some related problems." Thesis, University of Southampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243087.

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Tao, Jinxin. "Comparison Between Confidence Intervals of Multiple Linear Regression Model with or without Constraints." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/404.

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Regression analysis is one of the most applied statistical techniques. The sta- tistical inference of a linear regression model with a monotone constraint had been discussed in early analysis. A natural question arises when it comes to the difference between the cases of with and without the constraint. Although the comparison be- tween confidence intervals of linear regression models with and without restriction for one predictor variable had been considered, this discussion for multiple regres- sion is required. In this thesis, I discuss the comparison of the confidence intervals between a

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Glass, Suzanne. "Performance of bootstrap confidence intervals for L-moments and ratios of L-moments." [Johnson City, Tenn. : East Tennessee State University], 2000. http://etd-submit.etsu.edu/etd/theses/available/etd-0426100-142752/unrestricted/suzanneok.pdf.

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Spooner, Jean. "Nonparametric Confidence Intervals for the Reliability of Real Systems Calculated from Component Data." DigitalCommons@USU, 1987. https://digitalcommons.usu.edu/etd/7027.

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A methodology which calculates a point estimate and confidence intervals for system reliability directly from component failure data is proposed and evaluated. This is a nonparametric approach which does not require the component time to failures to follow a known reliability distribution. The proposed methods have similar accuracy to the traditional parametric approaches, can be used when the distribution of component reliability is unknown or there is a limited amount of sample component data, are simpler to compute, and use less computer resources. Depuy et al. (1982) studied several parame

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Sartori, S. "PENALIZED REGRESSION: BOOTSTRAP CONFIDENCE INTERVALS AND VARIABLE SELECTION FOR HIGH-DIMENSIONAL DATA SETS." Doctoral thesis, Università degli Studi di Milano, 2011. http://hdl.handle.net/2434/153099.

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High dimensional and ultrahigh dimensional variable selection is a formidable challenge in biomedical statistics. To face this problem, a number of promising approaches have recently been proposed. A very attractive method is penalized regression. This class of procedures shows many advantages but is still not very popular, mainly due to its computational cost. In this work, we focus our attention on these techniques and on their applications to genome-wide association studies (GWAS). An overview of some of the most interesting penalization methods is given in the first chapter: Lasso, Least

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