Rabu, 14 Juli 2010

Ebook Free Fundamental Concepts in the Design of Experiments

harlanduldericojohnaroger | Juli 14, 2010

Ebook Free Fundamental Concepts in the Design of Experiments

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Fundamental Concepts in the Design of Experiments

Fundamental Concepts in the Design of Experiments


Fundamental Concepts in the Design of Experiments


Ebook Free Fundamental Concepts in the Design of Experiments

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Fundamental Concepts in the Design of Experiments

Review

"An excellent presentation of the basic concepts of experimental design. It uses many numerical examples with 'real' data. It is clearly written and at the appropriate level for my students."--Noel Artiles-Leon, University of Puerto Rico

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About the Author

Charles R. Hicks is at Purdue University. Kenneth V. Turner is at Anderson University.

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Product details

Hardcover: 565 pages

Publisher: Oxford University Press; 5 edition (March 25, 1999)

Language: English

ISBN-10: 0195122739

ISBN-13: 978-0195122732

Product Dimensions:

9.3 x 1.3 x 7.7 inches

Shipping Weight: 2.6 pounds (View shipping rates and policies)

Average Customer Review:

3.2 out of 5 stars

5 customer reviews

Amazon Best Sellers Rank:

#781,499 in Books (See Top 100 in Books)

This textbook is terrible. It may just be that it is not geared to my learning style but, most of the material in this book is poorly elaborated upon. If this is the book for your class, run.

Great book. The examples were helpful, and the answers to selected problems are in the back.

Book is just OK. He explains things well, but the questions use different terminology that is not used in the text.

I think this book is more old than I image. But, it is just the hard cover of this book, the content have a good condition to read and no other draft in the paper.

This book is very valuable for those actively engaged in the conduct of experiments, either operational or developmental in nature. It does require someone with a background in statistical methods using analysis of variance. The user needs to have a good understanding of statistical inference. There are many good working models of various analytic procedures provided.

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