By Shein-Chung Chow, Song-Gui Wang
This paintings information the statistical inference of linear types together with parameter estimation, speculation checking out, self belief durations, and prediction. The authors speak about the applying of statistical theories and methodologies to numerous linear versions resembling the linear regression version, the research of variance version, the research of covariance version, and the variance elements version.
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Additional resources for Advanced Linear Models (Statistics: A Series of Textbooks and Monographs)
We are deeply indebted to the National Natural Science Foundation of China, the University of Science and Technology of China, and Bristol-Myers Squibb Company for their support. The work of the first author was partially supported by the National Natural Science Foundation of China. We are also grateful to many individuals, especially Professor Xi-Ru Chen and Drs. A. M. Krishagar, S. A. Henry, and S. L. Barker for their support and encouragement and Drs. J. Bergum, H. L. Ju, and F. Y. C. Ki for many helpful discussions and for reading portions of the manuscript.
The book consists of ten chapters divided into three parts. The first part contains three chapters that provide some preliminary results on matrix theory and multivariate normal and related distributions. Various linear models are also introduced through real examples in this part. [/PU][DP]1994[/DP]End of Citation Â < previous page < previous page page_iii page_iv next page > next page > Page iv and prediction. In the third part of the book, the methodologies are applied to various linear models, such as the linear regression model, the analysis of variance model, the analysis of covariance model, and the variance components model.
Neither this book nor any part may be reproduced or transmitted in any form or by any means, electronic or mechanical, includ writing from the publisher. MARCEL DEKKER, INC. [/PU][DP]1994[/DP]End of Citation Â < previous page < previous page 42 page_ii page_iii next page > next page > 43 Page iii PREFACE This book is intended both as a textbook for a graduate course in linear models and as a reference for researchers. It covers the most up-to-date theories and methodologies, together with their applications, and also discusses other recent developments and future research topics.
Advanced Linear Models (Statistics: A Series of Textbooks and Monographs) by Shein-Chung Chow, Song-Gui Wang