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The Analysis of Variance.
 
 

The Analysis of Variance. [Hardcover]

Henry Scheffe
5.0 out of 5 stars  See all reviews (1 customer review)

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Paperback CDN $119.02  

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Product Description

Product Description

Originally published in 1959, this classic volume has had a major impact on generations of statisticians. Newly issued in the Wiley Classics Series, the book examines the basic theory of analysis of variance by considering several different mathematical models. Part I looks at the theory of fixed-effects models with independent observations of equal variance, while Part II begins to explore the analysis of variance in the case of other models.

Book Info

Designed to elucidate the basic theory of the analysis of variance. Intended as a text for a one-semester or two-quarter course at the senior or graduate level, and for self study. Softcover. --This text refers to the Paperback edition.

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The following rough definition of our subject may serve tentatively: The analysis of variance is a statistical technique for analyzing measurements depending on several kinds of effects operating simultaneously, to decide which kinds of effects are important and to estimate the effects. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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5.0 out of 5 stars The Analysis of Variance, Aug 2 2000
By A Customer
This is an elegant and well-written classic. Scheffe's proofs are clear and straightforward, without being too terse. His use of orthogonal bases for vector spaces makes proofs of independence and derivations of distributions easy to understand. _The Analysis of Variance_ has definitely stood the test of time.
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5.0 out of 5 stars The Analysis of Variance, Aug 2 2000
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This review is from: The Analysis of Variance (Paperback)
This is an elegant and well-written classic. Scheffe's proofs are clear and straightforward, without being too terse. His use of orthogonal bases for vector spaces makes proofs of independence and derivations of distributions easy to understand. _The Analysis of Variance_ has definitely stood the test of time.
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