Overview
- Authors:
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David J. Saville
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AgResearch, Biometrics Unit, Lincoln, New Zealand
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Graham R. Wood
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Department of Mathematics, University of Canterbury, Christchurch, New Zealand
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Table of contents (18 chapters)
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Basic Ideas
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- David J. Saville, Graham R. Wood
Pages 3-9
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- David J. Saville, Graham R. Wood
Pages 10-38
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- David J. Saville, Graham R. Wood
Pages 39-54
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- David J. Saville, Graham R. Wood
Pages 55-64
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Introduction to Analysis of Variance
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- David J. Saville, Graham R. Wood
Pages 67-96
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- David J. Saville, Graham R. Wood
Pages 97-132
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- David J. Saville, Graham R. Wood
Pages 133-151
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Orthogonal Contrasts
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Front Matter
Pages 153-153
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- David J. Saville, Graham R. Wood
Pages 155-186
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- David J. Saville, Graham R. Wood
Pages 187-223
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- David J. Saville, Graham R. Wood
Pages 224-270
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- David J. Saville, Graham R. Wood
Pages 271-295
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Introducing Blocking
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Front Matter
Pages 297-297
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- David J. Saville, Graham R. Wood
Pages 299-339
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- David J. Saville, Graham R. Wood
Pages 340-353
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- David J. Saville, Graham R. Wood
Pages 354-379
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Fundamentals of Regression
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Front Matter
Pages 381-381
About this book
This book is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. The key feature is that these tools are viewed in their natural mathematical setting, the geometry of finite dimensions. The Authors To introduce ourselves, Dave Saville is a practicing statistician working in agricultural research; Graham Wood is a university lecturer involved in the teaching of statistical methods. Each of us has worked for sixteen years in our current field. Features of the Book People like pictures. One picture can present a set of ideas at a glance, while a series of pictures, each building on the last, can unify a wealth of ideas. Such a series we present in this text by means of a systematic geometric approach to the presentation of the theory of basic statistical methods. This approach fills the void between the traditional extremes of the "cookbook" approach and the "matrix algebra" approach, providing an elementary but at the same time rigorous view of the subject. It combines the virtues of the traditional methods, while avoiding their vices.
Reviews
"This is an interesting attempt to present analysis of variance and related topics in an informative way."
(Biometrics)
Authors and Affiliations
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AgResearch, Biometrics Unit, Lincoln, New Zealand
David J. Saville
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Department of Mathematics, University of Canterbury, Christchurch, New Zealand
Graham R. Wood