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Download or read book Research Reports written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ole F. Christensen
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (255 download)
Download or read book Tests and Confidence Intervals for an Extended Variance Component Using the Modified Likelihood Ratio Statistic written by Ole F. Christensen and published by . This book was released on 2005 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ole F. Christensen
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (488 download)
Download or read book Tests and Confidence Intervals for an Extended Variance Componenet Using the Modified Likelihood Ratio Statistic written by Ole F. Christensen and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Burdick
Publisher : CRC Press
ISBN 13 : 9780824786441
Total Pages : 238 pages
Book Rating : 4.7/5 (864 download)
Download or read book Confidence Intervals on Variance Components written by Burdick and published by CRC Press. This book was released on 1992-02-28 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizes information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level. Overviews recent research on constructin
Author : Yonghee Lee
Publisher :
ISBN 13 :
Total Pages : 154 pages
Book Rating : 4.:/5 (89 download)
Download or read book Confidence Intervals and Tests on a Linear Combination of Variance Components when Estimators are Dependent written by Yonghee Lee and published by . This book was released on 2002 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : A. R. Brazzale
Publisher : Cambridge University Press
ISBN 13 : 9780521847032
Total Pages : 256 pages
Book Rating : 4.8/5 (47 download)
Download or read book Applied Asymptotics written by A. R. Brazzale and published by Cambridge University Press. This book was released on 2007-05-31 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: First practical treatment of small-sample asymptotics, enabling practitioners to apply new methods with confidence.
Author : Hardeo Sahai
Publisher : Springer Science & Business Media
ISBN 13 : 0817644253
Total Pages : 493 pages
Book Rating : 4.8/5 (176 download)
Download or read book Analysis of Variance for Random Models, Volume 2: Unbalanced Data written by Hardeo Sahai and published by Springer Science & Business Media. This book was released on 2007-07-03 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.
Author : K D Bird
Publisher : SAGE
ISBN 13 : 9780761963578
Total Pages : 244 pages
Book Rating : 4.9/5 (635 download)
Download or read book Analysis of Variance Via Confidence Intervals written by K D Bird and published by SAGE. This book was released on 2004-12-07 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of variance - ANOVA - constitutes the main set of statistical methods through which undergraduate and postgraduate students carry out multivariate analysis. This textbook adopts an innovative approach to ANOVA, placing emphasis on confidence intervals rather than tests of significance.
Author : Jian Zhao
Publisher :
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.:/5 (98 download)
Download or read book Some Approximate Confidence Intervals and Regions for Inter-laboratory Data Analysis written by Jian Zhao and published by . This book was released on 2016 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The basic problem of interest in inter-laboratory studies is inference concerning a common mean, also referred to as a consensus mean, when the measurements are obtained by several laboratories. The measurements from the different laboratories exhibit different within-laboratory variances, in addition to a between laboratory variability. In order to capture such variabilities, a natural choice of a model for the data is a one-way random model with heteroscedastic error variances. The topic of inter-laboratory data analysis has received considerable attention in the literature, and statistical inference under such a heteroscedastic one-way random model has been investigated in a number of articles. While likelihood based methods are a natural choice for the statistical inference, it is clearly important to look for methodologies that are accurate in small sample size scenarios. The topic of higher order asymptotics deals with modifications of the usual likelihood ratio procedures so as to achieve accurate small sample performance. In the thesis, a higher order asymptotic procedure is applied for the interval estimation of the consensus mean in inter-laboratory studies. In addition, the interval estimation of the inter-laboratory variance component is also addressed, even though this is a problem of secondary interest only. Numerical results are reported to show that the proposed solutions are accurate in terms of maintaining the coverage probability. For computational simplicity, the actual likelihood was not used in the development of some of the confidence intervals; rather, a simplified version was used by replacing the within-laboratory variances with the corresponding sample variances, so that the only unknown parameters in the likelihood are the consensus mean and the between-laboratory variance component. It is also noted that the Wald statistic can be used to obtain accurate confidence intervals for the consensus mean, provided a parametric bootstrap distribution is used (instead of the usual normal approximation). The results are all illustrated with examples.
Author : Kevin Kim
Publisher : CRC Press
ISBN 13 : 9781584886341
Total Pages : 576 pages
Book Rating : 4.8/5 (863 download)
Download or read book Univariate and Multivariate General Linear Models written by Kevin Kim and published by CRC Press. This book was released on 2006-10-11 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral sciences. With revised examples that include options available using SAS 9.0, this expanded edition divides theory from applications within each chapter. Following an overview of the GLM, the book introduces unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs. Extensions of these concepts include GLMs with heteroscedastic errors that encompass weighted least squares regression and categorical data analysis, and multivariate GLMs that cover multivariate regression analysis, MANOVA, MANCOVA, and repeated measurement data analyses. The book also analyzes double multivariate linear, growth curve, seeming unrelated regression (SUR), restricted GMANOVA, and hierarchical linear models. New to the Second Edition Two chapters on finite intersection tests and power analysis that illustrates the experimental GLMPOWER procedure Expanded theory of unrestricted general linear, multivariate general linear, SUR, and restricted GMANOVA models to comprise recent developments Expanded material on missing data to include multiple imputation and the EM algorithm Applications of MI, MIANALYZE, TRANSREG, and CALIS procedures A practical introduction to GLMs, Univariate and Multivariate General Linear Models demonstrates how to fully grasp the generality of GLMs by discussing them within a general framework.
Author : Shayle R. Searle
Publisher : John Wiley & Sons
ISBN 13 : 0470317698
Total Pages : 537 pages
Book Rating : 4.4/5 (73 download)
Download or read book Variance Components written by Shayle R. Searle and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . .Variance Components is an excellent book. It is organized and well written, and provides many references to a variety of topics. I recommend it to anyone with interest in linear models." —Journal of the American Statistical Association "This book provides a broad coverage of methods for estimating variance components which appeal to students and research workers . . . The authors make an outstanding contribution to teaching and research in the field of variance component estimation." —Mathematical Reviews "The authors have done an excellent job in collecting materials on a broad range of topics. Readers will indeed gain from using this book . . . I must say that the authors have done a commendable job in their scholarly presentation." —Technometrics This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation, binary and discrete data, and the dispersion mean model.
Author : J.G. Kalbfleisch
Publisher : Springer
ISBN 13 : 0387961836
Total Pages : 380 pages
Book Rating : 4.3/5 (879 download)
Download or read book Probability and Statistical Inference written by J.G. Kalbfleisch and published by Springer. This book was released on 1985-11-01 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is in two volumes, and is intended as a text for introductory courses in probability and statistics at the second or third year university level. It em phasizes applications and logical principles rather than mathematical theory. A good background in freshman calculus is sufficient for most of the material presented. Several starred sections have been included as supplementary material. Nearly 900 problems and exercises of varying difficulty are given, and Appendix A contains answers to about one-third of them. The first volume (Chapters 1-8) deals with probability models and with math ematical methods for describing and manipulating them. It is similar in content and organization to the 1979 edition. Some sections have been rewritten and expanded-for example, the discussions of independent random variables and conditional probability. Many new exercises have been added. In the second volume (Chapters 9-16), probability models are used as the basis for the analysis and interpretation of data. This material has been revised extensively. Chapters 9 and 10 describe the use of the likelihood function in estimation problems, as in the 1979 edition. Chapter 11 then discusses frequency properties of estimation procedures, and introduces coverage probability and confidence intervals. Chapter 12 describes tests of significance, with applications primarily to frequency data. The likelihood ratio statistic is used to unify the material on testing, and connect it with earlier material on estimation.
Author : Esa Uusipaikka
Publisher : CRC Press
ISBN 13 : 1420060384
Total Pages : 328 pages
Book Rating : 4.4/5 (2 download)
Download or read book Confidence Intervals in Generalized Regression Models written by Esa Uusipaikka and published by CRC Press. This book was released on 2008-07-25 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data a
Author : S. P. Verrill
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (319 download)
Download or read book Confidence Bounds and Hypothesis Tests for Normal Distribution Coefficients of Variation written by S. P. Verrill and published by . This book was released on 2007 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of variation, provide a test for the equality of k coefficients of variation, and provide confidence bounds on a coefficient of variation shared by k populations. To develop these confidence bounds and test, we first establish that estimators based on Newton steps from [the square root of n]-consistent estimators may be used in place of efficient solutions of the likelihood equations in likelihood ratio, Wald, and Rao tests. Taking a quadratic mean differentiability approach, Lehmann and Romano have outlined proofs of similar results. We take a Cramér condition approach and make the conditions and their use explicit. Keywords: coefficient of variation, signal to noise ratio, risk to return ratio, one-step Newton estimators, Newton's method, [the square root of n]-consistent estimators, efficient likelihood estimators, Cramér conditions, quadratic mean differentiability, likelihood ratio test, Wald test, Rao test, asymptotics.
Author : Kathleen G. Purdy
Publisher :
ISBN 13 :
Total Pages : 104 pages
Book Rating : 4.:/5 (397 download)
Download or read book Confidence Intervals for Variance Components written by Kathleen G. Purdy and published by . This book was released on 1998 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measuring the source and magnitude of components of variation has important applications in industrial, environmental and biological studies. This thesis considers the problem of constructing confidence intervals for variance components in Gaussian mixed linear models. A number of methods based on the usual ANOVA mean squares have been proposed for constructing confidence intervals for variance components in balanced mixed models. Some authors have suggested extending balanced model procedures to unbalanced models by replacing the ANOVA mean squares with mean squares from an unweighted means ANOVA. However, the unweighted means ANOVA is only defined for a few specific mixed models. In Chapter 2 we define a generalization of the unweighted means ANOVA for the three variance component mixed linear model and illustrate how the mean squares from this ANOVA may be used to construct confidence intervals for variance components. Computer simulations indicate that the proposed procedure gives intervals that are generally consistent with the stated confidence level, except in the case of extremely unbalanced designs. A set of statistics that can be used as an alternative to the generalized unweighted mean squares is developed in Chapter 3. The intervals constructed with these statistics have better coverage probability and are often narrower than the intervals constructed with the generalized unweighted mean squares.
Author : Yulan Li
Publisher :
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.:/5 (362 download)
Download or read book Confidence Intervals and Tests for Variance-component Ratios in Mixed Linear Models written by Yulan Li and published by . This book was released on 1993 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Paruchuri R. Krishnaiah
Publisher :
ISBN 13 :
Total Pages : 1028 pages
Book Rating : 4.:/5 (44 download)
Download or read book Analysis of Variance written by Paruchuri R. Krishnaiah and published by . This book was released on 1980 with total page 1028 pages. Available in PDF, EPUB and Kindle. Book excerpt:
