Components of variance
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Components of variance

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Published by Chapman & Hall/CRC in Boca Raton, Fla .
Written in English

Subjects:

  • Analysis of variance

Book details:

Edition Notes

Includes bibliographical references (p. 151-159) and indexes

StatementD.R. Cox, P.J. Solomon
SeriesMonographs on statistics and applied probability -- 97
ContributionsSolomon, P. J
Classifications
LC ClassificationsQA279 .C69 2003
The Physical Object
Paginationx, 169 p. :
Number of Pages169
ID Numbers
Open LibraryOL17117422M
ISBN 101584883545
LC Control Number2002073622

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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. : Variance Components: Mixed Models, Methodologies and Applications (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) (): Rao, Poduri S.R.S.: Books5/5(1). Variance Components book. Read reviews from world’s largest community for readers. This volume is written on the subject of the summarizing of the variab 5/5(3).   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.

This book presents a broad coverage of its topic: variance components estimation and mixed models analysis. Although the use of variance components has a long history dating back to the s, it is only in the last forty years or. Components of Variance Example for Random Factors: Data for the example: A company supplies a customer with a larger number of batches of raw materials. The customer makes three sample determinations from each of five randomly selected batches to . components function, e.g., by “majority vote.” For what values of p is a 5-component system more likely to operate effectively than a 3-component system? X 5 = # failed in 5-component system ~ Bin(5, p) X 3 = # failed in 3-component system ~ Bin(3, p)   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.

A statistical technique, components of variance analysis, was used to quantify three potential sources of variation in the determination of fluoride by ion chromatography (IC). The variance components due to sampling (%) and oxygen bombings (%) were found to be significant while the variance component due to IC repeats was only %. "This book presents broad coverage of variance components estimation and mixed models. Its chapters cover history (Chapter 2), analysis of variance estimation (Chapters 3, 4, and 5), maximum likelihood (ML) estimation, including restricted ML and computational methods (Chapters 6 and 8), prediction in mixed models (Chapter 7), Bayes estimation and hierarchical models (Chapter 9), .   Introduction to the key ideas. To a statistician, the term components of variance conjures up a linear statistical model in which all the random variables are assumed to be independent and normally distributed. However, components of variance have a long history dating back several centuries and much of the early work, which was in genetics and sampling, did not require such Cited by: The topic here is variance components. In regression and ANOVA it is often important to try to separate the various contributions the various factors or regression variables have on the overall variability in the data. This book deals with that type of estimation problem and covers Poisson distributed variables as well a normally 5/5.