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Statistics: a Series of Textbooks and Monographs: Design of Experiments : A Realistic Approach by Virgil L. Anderson and Robert A. McLean (1974, Hardcover)
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About this product
Product Identifiers
PublisherCRC Press LLC
ISBN-100824761316
ISBN-139780824761318
eBay Product ID (ePID)883971
Product Key Features
Number of Pages440 Pages
LanguageEnglish
Publication NameDesign of Experiments : a Realistic Approach
SubjectProbability & Statistics / General, Research & Methodology
Publication Year1974
TypeTextbook
Subject AreaMathematics, Science
AuthorVirgil L. Anderson, Robert A. Mclean
SeriesStatistics: a Series of Textbooks and Monographs
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight25.6 Oz
Item Length9.2 in
Item Width6.2 in
Additional Product Features
Intended AudienceCollege Audience
Series Volume Number5
IllustratedYes
Table Of ContentReview of Some Basic Statistical Concepts Some Intermediate Data Analysis Concepts A Scientific Approach to Experimentation Completely Randomized Design (CRD) Randomized Complete Block Design (RCBD) Nested (Hierarchical) and Nested Factorial Designs Split Plot Type Design Latin Square Type Designs 2n Factorial Experiments (Complete and Incomplete Blocks) Fractional Factorial Experiments for Two-Leveled Factors Three-Level Factorial Experiments Mixed Factorial Experiments and Other Incomplete Block Designs Response Surface Exploration Appendices
SynopsisThe book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical approach to designing experiments in any discipline and explain the general principles upon which such design is based. The reader then can apply these theories to any specific problem in his own work. No advanced mathematics is needed to utilize Design of Experiments - the necessary statistical concepts and briefly reviewed in the first two chapters. Subsequent chapters explain why and how the design of experiments in an intrinsic part of the scientific method, what problems will be encountered by the researcher in setting up his experiment and how to deal with them, and how to accurately analyze the result in terms of the sample taken and the method used. Each chapter includes problems encountered in specific fields so that the reader can test himself on his comprehension of the material. The diversity of the applications that these problems encompass also allows the reader to grasp the basic principles that unite the statistical approach to experiment design. Researchers and students in engineering, agriculture, pharmacy, veterinary science, chemistry, biology, the social; sciences, statistics, mathematics, or any other field that requires the design, solution, and analysis of problems will find this book absolutely indispensable.
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