Advanced Linear Models (Statistics: A Series of Textbooks - download pdf or read online

By Shein-Chung Chow, Song-Gui Wang

ISBN-10: 082479169X

ISBN-13: 9780824791698

This paintings info the statistical inference of linear types together with parameter estimation, speculation trying out, self assurance durations, and prediction. The authors speak about the applying of statistical theories and methodologies to varied linear versions resembling the linear regression version, the research of variance version, the research of covariance version, and the variance parts version.

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Extra resources for Advanced Linear Models (Statistics: A Series of Textbooks and Monographs)

Example text

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  < 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.

PU][DP]1994[/DP]End of Citation  < 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. Unlike other books on linear models, this book explores each of these models using a unified approach. In each chapter, an up-to-date theory, methodology, applications, and further developments are included.

It covers the most up-to-date theories and methodologies, together with their applications, and also discusses other recent developments and future research topics. It is our goal to provide graduate students in statistics and related areas with an advanced textbook in linear models. More important, we have tried to offer a useful desk reference and a state-of-the art examination of this area to statistical researchers in academia and government and to statisticians in industry who provide statistical support for projects related to linear models.

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Advanced Linear Models (Statistics: A Series of Textbooks and Monographs) by Shein-Chung Chow, Song-Gui Wang


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