Statistics for experimenters : an introduction to design, data analysis, and model building
Author(s)
Bibliographic Information
Statistics for experimenters : an introduction to design, data analysis, and model building
（Wiley series in probability and mathematical statistics, . Applied probability and statistics）
J. Wiley, c1978
Available at / 108 libraries
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Faculty of Textile Science and Technology Library, Shinshu University図
417.7:B 68:607120650202625
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Note
Includes bibliographical references and indexes
Description and Table of Contents
Description
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.
Table of Contents
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.
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