A Least Squares Approach To Quadratic Unbiased Estimation Of Variance Components In General Mixed Model PDF Download
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Author | : Cheng-Hsuan Yuan |
Publisher | : |
Total Pages | : 122 |
Release | : 1977 |
Genre | : |
ISBN | : |
Download A Least Squares Approach to Quadratic Unbiased Estimation of Variance Components in General Mixed Model Book in PDF, ePub and Kindle
Author | : Robert Donald Anderson |
Publisher | : |
Total Pages | : 308 |
Release | : 1978 |
Genre | : Analysis of variance |
ISBN | : |
Download Studies on the Estimation of Variance Components Book in PDF, ePub and Kindle
Author | : Poduri S.R.S. Rao |
Publisher | : CRC Press |
Total Pages | : 232 |
Release | : 1997-06-01 |
Genre | : Mathematics |
ISBN | : 9780412728600 |
Download Variance Components Book in PDF, ePub and Kindle
Variance Components Estimation deals with the evaluation of the variation between observable data or classes of data. This is an up-to-date, comprehensive work that is both theoretical and applied. Topics include ML and REML methods of estimation; Steepest-Acent, Newton-Raphson, scoring, and EM algorithms; MINQUE and MIVQUE, confidence intervals for variance components and their ratios; Bayesian approaches and hierarchical models; mixed models for longitudinal data; repeated measures and multivariate observations; as well as non-linear and generalized linear models with random effects.
Author | : James D. Malley |
Publisher | : Springer Science & Business Media |
Total Pages | : 157 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461575540 |
Download Optimal Unbiased Estimation of Variance Components Book in PDF, ePub and Kindle
Author | : Hardeo Sahai |
Publisher | : Springer Science & Business Media |
Total Pages | : 493 |
Release | : 2007-07-03 |
Genre | : Mathematics |
ISBN | : 0817644253 |
Download Analysis of Variance for Random Models, Volume 2: Unbalanced Data Book in PDF, ePub and Kindle
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 | : Shayle R. Searle |
Publisher | : John Wiley & Sons |
Total Pages | : 537 |
Release | : 2009-09-25 |
Genre | : Mathematics |
ISBN | : 0470317698 |
Download Variance Components Book in PDF, ePub and Kindle
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 | : Calyampudi R. Rao |
Publisher | : Springer Science & Business Media |
Total Pages | : 439 |
Release | : 2006-04-06 |
Genre | : Mathematics |
ISBN | : 0387227520 |
Download Linear Models Book in PDF, ePub and Kindle
An up-to-date account of the theory and applications of linear models, for use as a textbook in statistics at graduate level as well as an accompanying text for other courses in which linear models play a part. The authors present a unified theory of inference from linear models with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights include: - a special emphasis on sensitivity analysis and model selection; - a chapter devoted to the analysis of categorical data based on logic, loglinear, and logistic regression models; - a chapter devoted to incomplete data sets; - an extensive appendix on matrix theory; - a chapter devoted to the analysis of categorical data based on a unified presentation of generalized linear models including GEE-methods for correlated response; - a chapter devoted to incomplete data sets including regression diagnostics to identify Non-MCAR-processes The material covered is thus invaluable not only to graduates, but also to researchers and consultants in statistics.
Author | : |
Publisher | : |
Total Pages | : 574 |
Release | : 1970 |
Genre | : Weights and measures |
ISBN | : |
Download NBS Special Publication Book in PDF, ePub and Kindle
Author | : Charles E. McCulloch |
Publisher | : IMS |
Total Pages | : 100 |
Release | : 2003 |
Genre | : Mathematics |
ISBN | : 9780940600546 |
Download Generalized Linear Mixed Models Book in PDF, ePub and Kindle
Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data. As a follow-up to Searle's classic, Linear Models, and Variance Components by Searle, Casella, and McCulloch, this new work progresses from the basic one-way classification to generalized linear mixed models. A variety of statistical methods are explained and illustrated, with an emphasis on maximum likelihood and restricted maximum likelihood. An invaluable resource for applied statisticians and industrial practitioners, as well as students interested in the latest results, Generalized, Linear, and Mixed Models features: * A review of the basics of linear models and linear mixed models * Descriptions of models for nonnormal data, including generalized linear and nonlinear models * Analysis and illustration of techniques for a variety of real data sets * Information on the accommodation of longitudinal data using these models * Coverage of the prediction of realized values of random effects * A discussion of the impact of computing issues on mixed models
Author | : William Hutchinson Swallow |
Publisher | : |
Total Pages | : 240 |
Release | : 1974 |
Genre | : Analysis of variance |
ISBN | : |
Download Minimum Norm and Minimum Variance Quadratic Unbiased Estimation of Variance Components Book in PDF, ePub and Kindle