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Wiley Series in Probability and Statistics Ser.: Statistics for Experimenters : An Introduction to Design, Data Analysis, and Model Building by William G. Hunter, George E. P. Box and J. Stuart Hunter (1978, Hardcover)
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STATISTICS FOR EXPERIMENTERS: AN INTRODUCTION TO DESIGN, DATA ANALYSIS, AND MODEL BUILDING By George E P Box & William G. Hunter & J. Stuart Hunter - Hardcover **BRAND NEW**.
- Buy It NowSTATISTICS FOR EXPERIMENTERS: AN INTRODUCTION TO DESIGN, By George E P Box NEW
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471093157
ISBN-139780471093152
eBay Product ID (ePID)518694
Product Key Features
Number of Pages672 Pages
Publication NameStatistics for Experimenters : an Introduction to Design, Data Analysis, and Model Building
LanguageEnglish
Publication Year1978
SubjectProbability & Statistics / General, Research & Methodology
TypeTextbook
Subject AreaMathematics, Science
AuthorWilliam G. Hunter, George E. P. Box, J. Stuart Hunter
SeriesWiley Series in Probability and Statistics Ser.
FormatHardcover
Dimensions
Item Height1.4 in
Item Weight37.7 Oz
Item Length9.3 in
Item Width6.5 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN77-015087
Dewey Edition19
Series Volume Number154
IllustratedYes
Dewey Decimal519.5
Table Of ContentScience 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.
SynopsisIntroduces 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 NumberQA279
