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by Shayle R. Searle,Charles E. McCulloch,George Casella
Download Variance Components fb2
Mathematics
  • Author:
    Shayle R. Searle,Charles E. McCulloch,George Casella
  • ISBN:
    0470009594
  • ISBN13:
    978-0470009598
  • Genre:
  • Publisher:
    Wiley-Interscience; 1 edition (March 24, 2006)
  • Pages:
    501 pages
  • Subcategory:
    Mathematics
  • Language:
  • FB2 format
    1165 kb
  • ePUB format
    1296 kb
  • DJVU format
    1958 kb
  • Rating:
    4.3
  • Votes:
    795
  • Formats:
    doc rtf docx mbr


Variance Components is an excellent book GEORGE CASELLA, PhD, is Professor and Chair of the Department of Statistics at the University of Florida.

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. GEORGE CASELLA, PhD, is Professor and Chair of the Department of Statistics at the University of Florida. CHARLES E. McCULLOCH, PhD, is Professor of Biostatistics at the University of California, San Francisco.

by Shayle Robert Searle (Author), George Casella (Author). Find all the books, read about the author, and more. Are you an author? Learn about Author Central. George Casella (Author), Charles E. McCulloch (Author) & 0 more. ISBN-13: 978-0471621621. Design and Analysis of Experiments with R (Chapman & Hall/CRC Texts in Statistical Science).

McCulloch, Charles . Shayle R. Searle; Casella, George (2006) "Best Quadratic Unbiased Estimation of Variance Components from Unbalanced Data in the 1-Way Classification". Searle; Casella, George (2006). Variance Components (Wiley Series in Probability and Statistics). New York: Wiley-Interscience. Best Quadratic Unbiased Estimation of Variance Components from Unbalanced Data in the 1-Way Classification".

Поиск книг BookFi BookSee - Download books for free. Searle, George Casella, Charles E. McCulloch. Категория: Математика, Прикладная математика. 9 Mb. Mediaeval Latin and French bestiaries.

Shayle R. McCulloch

Shayle R. It is organized and well written, and provides many references to a variety of topics

Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them.

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Charles E. McCulloch, Shayle R. Searle. John Wiley & Sons, 22 mars 2004 - 358 pages. He is the author of numerous scientific publications on biometrics and biological statistics and a coauthor (with Shayle Searle and George Casella) of Variance Components (Wiley). SEARLE, PhD, is Professor Emeritus of Biometry at Cornell University.

Variance Components (Wiley Series in Probability and Statistics). Скачать (pdf, 2. 5 Mb).

Author:McCulloch, Charles E. McCulloch, George Casella, Shayle R. Searle, etc. Publisher

Author:McCulloch, Charles E. Publisher:John Wiley and Sons Ltd. Each month we recycle over . million books, saving over 12,500 tonnes of books a year from going straight into landfill sites. Publisher. John Wiley and Sons Ltd.

Find nearly any book by Charles E. by Charles E. Searle, John M. Neuhaus. Get the best deal by comparing prices from over 100,000 booksellers. ISBN 9780470073711 (978-0-470-07371-1) Hardcover, Wiley-Interscience, 2008. by Shayle Robert Searle, George Casella, Charles E. ISBN 9780471621621 (978-0-471-62162-1) Hardcover, Wiley-Interscience, 1992. Find signed collectible books: 'Variance Components'.

WILEY-INTERSCIENCE PAPERBACK SERIES

The Wiley-Interscience Paperback Series consists ofselected books that have been made more accessible to consumers inan effort to increase global appeal and general circulation. Withthese new unabridged softcover volumes, Wiley hopes to extend thelives of these works by making them available to future generationsof statisticians, mathematicians, and scientists.

". . .Variance Components is an excellent book. It isorganized and well written, and provides many references to avariety of topics. I recommend it to anyone with interest in linearmodels."—Journal of the American StatisticalAssociation

"This book provides a broad coverage of methods for estimatingvariance components which appeal to students and research workers .. . The authors make an outstanding contribution to teaching andresearch in the field of variance component estimation."—Mathematical Reviews

"The authors have done an excellent job in collecting materialson a broad range of topics. Readers will indeed gain from usingthis book . . . I must say that the authors have done a commendablejob in their scholarly presentation."—Technometrics

This book focuses on summarizing the variability of statisticaldata known as the analysis of variance table. Penned in a readablestyle, it provides an up-to-date treatment of research in the area.The book begins with the history of analysis of variance andcontinues with discussions of balanced data, analysis of variancefor unbalanced data, predictions of random variables, hierarchicalmodels and Bayesian estimation, binary and discrete data, and thedispersion mean model.


Ustamya
A very comprehensive treatment of variance components analysis through the use of fixed, random and mixed models. I thought the book will go through the details of ANOVA but it is actually a book about mixed effect models and how to compute the variance components based on modelling. I am very happy with it.
Keel
This book is very rigorous and well structured. A must for any statistician that cares about dispersion. Also the book was in great physical shape.
Winenama
This is an easy to read book on a complex subject. It is a must for those doing research related to variance components. In particular, I like the way the author developed the topic. In particular the exposition of variance components' development as a subject over time from the early days (in the 1800)to date. This helped me in understanding the subject.
kinder
This book covers the history and application of one of the most important, but underutilized statistical methods for engineers. Variance components will give you insight unmatched by the typical methods of analysis currently in use. The explanations are readable by engineers with one to two years of statistical methods experience. This is a must have for semiconductor(any?) manufacturing process or product engineer.