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Applied regression analysis and experimental design

Applied regression analysis and experimental design 90 BOOK REVIEWS Richard J. Brook and Gregory C. Arnold: Applied Regression Analysis and Exper- imental Design (Statistics: Textbook and Monograph Series, Volume 62), Marcel Dekker, Inc., 1985, 256 pp. $39.75 (U.S. and Canada), $47.50 (all other countries). Regression analysis is a universal and frequently used statistical method facilitating elegant evaluation of various experiments over the whole range of experimental designs. The book will be appreciated particularly by those who will be making use of the method without any deeper knowledge of the optimal way of data evaluation and who are unaware of the consequences that the use of an unsuitable statistical method can evoke. The number of such users has recently increased in relation to the spreading network of easily accessible statistical computer packages. It is thus obvious that statistical methods for users of this branch are urgently needed. On the other hand, even an experienced statistician can find here many inspiring examples as well as clever solutions of routine statistical problems. The concept of the book is based on the linear regression model. The interpre- tation of theoretical parts is geometrically motivated and the notation of basic formulae is executed in a conventional way by vector algebra. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Applicandae Mathematicae Springer Journals

Applied regression analysis and experimental design

Michálek, Jaroslav
Acta Applicandae Mathematicae , Volume 18 (1) – Nov 30, 2004
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Publisher
Springer Journals
Copyright
Copyright
Subject
Mathematics; Computational Mathematics and Numerical Analysis; Applications of Mathematics; Partial Differential Equations; Probability Theory and Stochastic Processes; Calculus of Variations and Optimal Control; Optimization
ISSN
0167-8019
eISSN
1572-9036
DOI
10.1007/BF00822210
Publisher site
See Article on Publisher Site

Abstract

90 BOOK REVIEWS Richard J. Brook and Gregory C. Arnold: Applied Regression Analysis and Exper- imental Design (Statistics: Textbook and Monograph Series, Volume 62), Marcel Dekker, Inc., 1985, 256 pp. $39.75 (U.S. and Canada), $47.50 (all other countries). Regression analysis is a universal and frequently used statistical method facilitating elegant evaluation of various experiments over the whole range of experimental designs. The book will be appreciated particularly by those who will be making use of the method without any deeper knowledge of the optimal way of data evaluation and who are unaware of the consequences that the use of an unsuitable statistical method can evoke. The number of such users has recently increased in relation to the spreading network of easily accessible statistical computer packages. It is thus obvious that statistical methods for users of this branch are urgently needed. On the other hand, even an experienced statistician can find here many inspiring examples as well as clever solutions of routine statistical problems. The concept of the book is based on the linear regression model. The interpre- tation of theoretical parts is geometrically motivated and the notation of basic formulae is executed in a conventional way by vector algebra.

Journal

Acta Applicandae Mathematicae – Springer Journals

Published: Nov 30, 2004

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