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.
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The Analysis of Variance,
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This review is from: The Analysis of Variance (Wiley Classics Library) (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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First Sentence:
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 Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
ith anneal, equal cell numbers, live subscripts, independent estimable functions, incomplete layouts, positive indefinite, algebraic length, true parameter point, mutually orthogonal spaces, unbiased linear estimate, randomization models, one observation per cell, permutation distribution, ith treatment, equal group sizes, ith machine, concomitant variables, nominal probability, treatment main effects, complete additivity, jth block, ith level, estimation space, noncentrality parameter, uniformity trial Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, John Wiley, Industrial Quality Control New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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 Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
ith anneal, equal cell numbers, live subscripts, independent estimable functions, incomplete layouts, positive indefinite, algebraic length, true parameter point, mutually orthogonal spaces, unbiased linear estimate, randomization models, one observation per cell, permutation distribution, ith treatment, equal group sizes, ith machine, concomitant variables, nominal probability, treatment main effects, complete additivity, jth block, ith level, estimation space, noncentrality parameter, uniformity trial Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, John Wiley, Industrial Quality Control New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 51
books:
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18
books
cite this book:
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- Statistical Theory in Research by T.A. Bancroft Richard L. Anderson on page 138, page 188, and Back Matter
- Biometrika Tables for Statisticians by E. S. Pearson on page 144, Back Matter (1), and Back Matter (2)
- Tables of the Incomplete Beta-Function, 2nd Edition by Karl Pearson on page 28, and page 135
- Statistical Methods by George W. Snedecor on page 87, and page 218
- A Course in Modern Algebra (Wiley Classics Library) by Peter Hilton in Back Matter
See all 51 books this book cites
- Data, Statistics, and Decision Models with Excel by Donald L. Harnett on page 450, and Back Matter
- Advanced Calculus with Applications in Statistics by André I. Khuri on page 395, and Back Matter
- Empirical Model-Building and Response Surfaces (Wiley Series in Probability and Statistics) by George E. P. Box in Back Matter
- Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data (Wiley Series in Probability and Statistics) by John Cornell on page 43
- All of Nonparametric Statistics (Springer Texts in Statistics) by Larry Wasserman in Back Matter
See all 18 books citing this book
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