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[R455.Ebook] Ebook Download The Analysis of Variance, by Henry Scheffé

Ebook Download The Analysis of Variance, by Henry Scheffé

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The Analysis of Variance, by Henry Scheffé

The Analysis of Variance, by Henry Scheffé



The Analysis of Variance, by Henry Scheffé

Ebook Download The Analysis of Variance, by Henry Scheffé

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The Analysis of Variance, by Henry Scheffé

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.

  • Sales Rank: #1139833 in Books
  • Published on: 1999-03-05
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.98" h x 1.19" w x 5.98" l, 1.42 pounds
  • Binding: Paperback
  • 477 pages

Most helpful customer reviews

8 of 8 people found the following review helpful.
The Analysis of Variance
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.

1 of 1 people found the following review helpful.
It`s a very good book
By hugo alfonso mancera
This book is very good, very important and instructuve for trhe statisticians and others proffesionals that are interested in the analysis of variance.

0 of 0 people found the following review helpful.
Thank you, Scheffé!
By Jean-michel Tremblay
So the books has two different flavours: the text delivers a very intuitive presentation of the models and the formulae provide a very rigorous presentation of the claimed results. Everything is there: fixed effects, random effects, analysis of covariance, nested design, mixed design, you name it. Unlike other books I find it really easy to identify the geeky maths that I can avoid to gain a superficial understanding of the models, going back to the maths later.

The book does not address the problems of model selection or validation, but this has been discussed elsewhere many times.

We have just used it to define a model for a paper in 2013 and could find model assumptions and properties in a few minutes. Thank you, Scheffé!

See all 3 customer reviews...

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