Variance Components

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Variance Components

Author : Shayle R. Searle
Publisher : John Wiley & Sons
ISBN 13 : 0470317698
Total Pages : 537 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Variance Components by : Shayle R. Searle

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.

Variance Components

Author : Poduri S.R.S. Rao
Publisher : CRC Press
ISBN 13 : 9780412728600
Total Pages : 232 pages
Book Rating : 4.7/5 (286 download)

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Book Synopsis Variance Components by : Poduri S.R.S. Rao

Download or read book Variance Components written by Poduri S.R.S. Rao and published by CRC Press. This book was released on 1997-06-01 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Confidence Intervals on Variance Components

Author : Richard K. Burdick
Publisher : CRC Press
ISBN 13 : 148227714X
Total Pages : 228 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Confidence Intervals on Variance Components by : Richard K. Burdick

Download or read book Confidence Intervals on Variance Components written by Richard K. Burdick and published by CRC Press. This book was released on 1992-02-28 with total page 228 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

Components of Variance

Author : D.R. Cox
Publisher : CRC Press
ISBN 13 : 1482285940
Total Pages : 181 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Components of Variance by : D.R. Cox

Download or read book Components of Variance written by D.R. Cox and published by CRC Press. This book was released on 2002-07-30 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: The components of variance is a notion essential to statisticians and quantitative research scientists working in a variety of fields, including the biological, genetic, health, industrial, and psychological sciences. Co-authored by Sir David Cox, the pre-eminent statistician in the field, this book provides in-depth discussions that set forth the essential principles of the subject. It focuses on developing the models that form the basis for detailed analyses as well as on the statistical techniques themselves. The authors include a variety of examples from areas such as clinical trial design, plant and animal breeding, industrial design, and psychometrics.

Confidence Intervals on Variance Components

Author : Burdick
Publisher : CRC Press
ISBN 13 : 9780824786441
Total Pages : 238 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Confidence Intervals on Variance Components by : Burdick

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

Optimal Unbiased Estimation of Variance Components

Author : James D. Malley
Publisher : Springer Science & Business Media
ISBN 13 : 1461575540
Total Pages : 157 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Optimal Unbiased Estimation of Variance Components by : James D. Malley

Download or read book Optimal Unbiased Estimation of Variance Components written by James D. Malley and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Batch Effects and Noise in Microarray Experiments

Author : Andreas Scherer
Publisher : John Wiley & Sons
ISBN 13 : 9780470685990
Total Pages : 272 pages
Book Rating : 4.6/5 (859 download)

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Book Synopsis Batch Effects and Noise in Microarray Experiments by : Andreas Scherer

Download or read book Batch Effects and Noise in Microarray Experiments written by Andreas Scherer and published by John Wiley & Sons. This book was released on 2009-11-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Batch Effects and Noise in Microarray Experiments: Sources and Solutions looks at the issue of technical noise and batch effects in microarray studies and illustrates how to alleviate such factors whilst interpreting the relevant biological information. Each chapter focuses on sources of noise and batch effects before starting an experiment, with examples of statistical methods for detecting, measuring, and managing batch effects within and across datasets provided online. Throughout the book the importance of standardization and the value of standard operating procedures in the development of genomics biomarkers is emphasized. Key Features: A thorough introduction to Batch Effects and Noise in Microrarray Experiments. A unique compilation of review and research articles on handling of batch effects and technical and biological noise in microarray data. An extensive overview of current standardization initiatives. All datasets and methods used in the chapters, as well as colour images, are available on www.the-batch-effect-book.org, so that the data can be reproduced. An exciting compilation of state-of-the-art review chapters and latest research results, which will benefit all those involved in the planning, execution, and analysis of gene expression studies.

Analysis of Variance for Random Models, Volume 2: Unbalanced Data

Author : Hardeo Sahai
Publisher : Springer Science & Business Media
ISBN 13 : 0817644253
Total Pages : 493 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Analysis of Variance for Random Models, Volume 2: Unbalanced Data by : Hardeo Sahai

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.

Analysis of Variance for Random Models

Author : Hardeo Sahai
Publisher : Springer Science & Business Media
ISBN 13 : 9780817632304
Total Pages : 520 pages
Book Rating : 4.6/5 (323 download)

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Book Synopsis Analysis of Variance for Random Models by : Hardeo Sahai

Download or read book Analysis of Variance for Random Models written by Hardeo Sahai and published by Springer Science & Business Media. This book was released on 2004-05-27 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal breeding, applied genetics, econometrics, quality control, medicine, engineering, and social sciences. This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects. Both Bayesian and repeated sampling procedures are considered. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (nonorthogonal models). Features and Topics: * Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs * Detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level * Numerical examples to analyze data from a wide variety of disciplines * Many worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example * Extensive exercise sets at the end of each chapter * Numerous appendices with background reference concepts, terms, and results * Balanced coverage of theory, methods, and practical applications * Complete citations of important and related works at the end of each chapter, as well as an extensive general bibliography Accessible to readers with only a modest mathematical and statistical background, the work will appeal to a broad audience of students, researchers, and practitioners in the mathematical, life, social, and engineering sciences. It may be used as a textbook in upper-level undergraduate and graduate courses, or as a reference for readers interested in the use of random effects models for data analysis.

Generalizability Theory

Author : Robert L. Brennan
Publisher : Springer Science & Business Media
ISBN 13 : 9780387952826
Total Pages : 564 pages
Book Rating : 4.9/5 (528 download)

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Book Synopsis Generalizability Theory by : Robert L. Brennan

Download or read book Generalizability Theory written by Robert L. Brennan and published by Springer Science & Business Media. This book was released on 2001-08-09 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. Robert Brennan, the author, has written the most comprehensive and up-to-date treatment of generalizability theory. The book provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory. The principal intended audience is measurement practitioners and graduate students in the behavioral and social sciences, although a few examples and references are provided from other fields. Readers will benefit from some familiarity with classical test theory and analysis of variance, but the treatment of most topics does not presume specific background.

NBS Special Publication

Author :
Publisher :
ISBN 13 :
Total Pages : 574 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis NBS Special Publication by :

Download or read book NBS Special Publication written by and published by . This book was released on 1970 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Author and Permuted Title Index to Selected Statistical Journals

Author :
Publisher :
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis An Author and Permuted Title Index to Selected Statistical Journals by :

Download or read book An Author and Permuted Title Index to Selected Statistical Journals written by and published by . This book was released on 1970 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Unbiased Estimators of Variance Components in Simple Unbalanced Designs

Author : Edwin Cecil Townsend
Publisher :
ISBN 13 :
Total Pages : 270 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Unbiased Estimators of Variance Components in Simple Unbalanced Designs by : Edwin Cecil Townsend

Download or read book Unbiased Estimators of Variance Components in Simple Unbalanced Designs written by Edwin Cecil Townsend and published by . This book was released on 1968 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamentals of Exploratory Analysis of Variance

Author : David C. Hoaglin
Publisher : John Wiley & Sons
ISBN 13 : 0470317663
Total Pages : 448 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Fundamentals of Exploratory Analysis of Variance by : David C. Hoaglin

Download or read book Fundamentals of Exploratory Analysis of Variance written by David C. Hoaglin and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.

Quantitative Genetics and Selection in Plant Breeding

Author : Günter Wricke
Publisher : Walter de Gruyter
ISBN 13 : 9783110075618
Total Pages : 428 pages
Book Rating : 4.0/5 (756 download)

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Book Synopsis Quantitative Genetics and Selection in Plant Breeding by : Günter Wricke

Download or read book Quantitative Genetics and Selection in Plant Breeding written by Günter Wricke and published by Walter de Gruyter. This book was released on 1986 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis of Human Genetic Linkage

Author : Jurg Ott
Publisher : JHU Press
ISBN 13 : 9780801861406
Total Pages : 418 pages
Book Rating : 4.8/5 (614 download)

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Book Synopsis Analysis of Human Genetic Linkage by : Jurg Ott

Download or read book Analysis of Human Genetic Linkage written by Jurg Ott and published by JHU Press. This book was released on 1999-04-16 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction and basic genetic principles; Genetic loci genetic polymorphisms; Aspects of statistical inference; Basics of linkage analysis; The informativeness of family data; Multipoint linkage analysis; Penetrance; Quantitative phenotypes; Numerical and computerized methods; Variability of the recombination fraction; Inconsistencies; Linkage analysis with mendelian disease loci; Nonparametric methods; Two-locus inheritance; Complex traits.

Restricted Maximum Likelihood Estimation of Variance Components for Multiple Traits with Missing Observations and an Application to Beef Cattle

Download Restricted Maximum Likelihood Estimation of Variance Components for Multiple Traits with Missing Observations and an Application to Beef Cattle PDF Online Free

Author : Dorian John Garrick
Publisher :
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Restricted Maximum Likelihood Estimation of Variance Components for Multiple Traits with Missing Observations and an Application to Beef Cattle by : Dorian John Garrick

Download or read book Restricted Maximum Likelihood Estimation of Variance Components for Multiple Traits with Missing Observations and an Application to Beef Cattle written by Dorian John Garrick and published by . This book was released on 1988 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: