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Statistics for Experimenters: An Introduction to Design, Data Analysis, and...

by Box, George E. P.; Hunter, William... | HC | Good
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Note del venditore
“Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ...
Binding
Hardcover
Weight
4 lbs
Product Group
Book
IsTextBook
Yes
ISBN
9780471093152
Categoria

Informazioni su questo prodotto

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471093157
ISBN-13
9780471093152
eBay Product ID (ePID)
518694

Product Key Features

Number of Pages
672 Pages
Publication Name
Statistics for Experimenters : an Introduction to Design, Data Analysis, and Model Building
Language
English
Publication Year
1978
Subject
Probability & Statistics / General, Research & Methodology
Type
Textbook
Subject Area
Mathematics, Science
Author
William G. Hunter, George E. P. Box, J. Stuart Hunter
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover

Dimensions

Item Height
1.4 in
Item Weight
37.7 Oz
Item Length
9.3 in
Item Width
6.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
77-015087
Dewey Edition
19
Series Volume Number
154
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Science and Statistics.COMPARING TWO TREATMENTS.Use of External Reference Distribution to Compare Two Means.Random Sampling and the Declaration of Independence.Randomization and Blocking with Paired Comparisons.Significance Tests and Confidence Intervals for Means, Variances, Proportions and Frequences.COMPARING MORE THAN TWO TREATMENTS.Experiments to Compare k Treatment Means.Randomized Block and Two-Way Factorial Designs.Designs with More Than One Blocking Variable.MEASURING THE EFFECTS OF VARIABLES.Empirical Modeling.Factorial Designs at Two Levels.More Applications of Factorial Designs.Fractional Factorial Designs at Two Levels.More Applications of Fractional Factorial Designs.BUILDING MODELS AND USING THEM.Simple Modeling with Least Squares (Regression Analysis).Response Surface Methods.Mechanistic Model Building.Study of Variation.Modeling Dependence: Times Series.Appendix Tables.Index.
Synopsis
Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for statistical thinking'' by using examples drawn from actual case studies., This fresh approach to statistics focuses on applications in the physical, engineering, biological, and social sciences. From the beginning it source of ideas is the scientific method itself and the need of the investigator to make his research as effective as possible through proper choice and conduct of experiments and appropriate analysis of data. While the book is unusual in the attention given to the scientific philosophy, it requires only elementary mathematics.Material is presented with the non-statistician in mind. After a problem is stated, appropriate statistical methods of design and analysis are discussed. And frequently, examples are presented for which standard mathematical assumptions are wrong, thus forcing the reader's attention onto the essential precautions necessary in the conduct of the experiment to ensure valid conclusions.In addition to many worked examples in the text, there are frequent exercises (with answers) throughout the book. There are also questions at the end of each chapter (for purposes of preview and review) and numerous problems at the end of each part of the book.Box, Hunter, and Hunter-all statistical practitioners themselves-provide scientists and engineers with a lucid introduction to the basic statistical methods needed for research. In the last part of the book, advanced topics, selected for their special interest to scientific investigators, are introduced in readily understood language. These include time series analysis, response surface methods, regression analysis, study of error transmission, and mechanistic model-building., Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for ''statistical thinking'' by using examples drawn from actual case studies.
LC Classification Number
QA279

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