Applied Linear Statistical Models: Design and Analysis of Experiments (5版)

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書名：Applied Linear Statistical Models: Design and Analysis of Experiments 5/e 作者：KUTNER 出版社：McGraw-Hill 出版日期：2019/09/00 ISBN：9789863414186 內容簡介 　　1. Applied Linear Statistical Models contains 14 chapters on the Applied Linear Regression Models, plus an additional 16 chapters on single and multifactor ANOVA and Experimental Design. The standard regression framework is emphasized throughout the text. 　　2. A new Chapter 15, Introduction to the Design of Experiments and Observational Studies provides a basic framework for the design and analysis of scientific studies. 　　3. Updated throughout to include the latest developments and methods in statistics such as advanced bootstrapping, neural networks, regression trees, other blocking approaches, Taguchi Methodology, and more. 　　4. New open ended 'Cases' based on data sets from business, health care, and engineering are included. Also, many problem data sets have been updated and expanded. 　　5. The text includes a CD with all data sets and the Student Solutions manual in PDF. In addition a new supplement, SAS and SPSS Program Solutions by Replogle and Johnson is available for the Fifth Edition. 目錄 PART IV: DESIGN AND ANALYSIS OF SINGLE-FACTOR STUDIES Ch15 Introduction to the Design of Experimental and Observational Studies Ch16 Single Factor Studies Ch17 Analysis of Factor Level Means Ch18 ANOVA Diagnostics and Remedial Measures PART V: MULTI-FACTOR STUDIES Ch19 Two-Factor Studies with Equal Sample Sizes Ch20 Two-Factor Studies-One Case per Treatment Ch21 Randomized Complete Block Designs Ch22 Analysis of Covariance Ch23 Two-Factor Studies with Unequal Sample Sizes Ch24 Multi-Factor Studies Ch25 Random and Mixed Effects Models PART VI: SPECIALIZED STUDY DESIGNS Ch26 Nested Designs, Subsampling, and Partially Nested Designs Ch27 Repeated Measures and Related Designs Ch28 Balanced Incomplete Block, Latin Square, and Related Designs Ch29 Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs Ch30 Response Surface Methodology

Design of Experiments : Statistical Principles of Research Design & Analysis (2版)

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書名：Design of Experiments: Statistical Principles of Research Design & Analysis 2/e 作者：Kuehl 出版社：BROOKS COLE 出版日期：2000/00/00 ISBN：9780534368340 內容簡介 Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic settings for conducting actual research projects. Next, he emphasizes the importance of developing a treatment design based on a research hypothesis as an initial step, then developing an experimental or observational study design that facilitates efficient data collection. In addition to a consistent focus on research design, Kuehl offers an interpretation for each analysis. 目錄 1. RESEARCH DESIGN PRINCIPLES 2. GETTING STARTED WITH COMPLETELY RANDOMIZED DESIGNS 3. TREATMENT COMPARISONS 4. DIAGNOSING AGREEMENT BETWEEN THE DATA AND THE MODEL 5. EXPERIMENTS TO STUDY VARIANCES 6. FACTORIAL TREATMENT DESIGNS 7. FACTORIAL TREATMENT DESIGNS: RANDOM AND MIXED MODELS 8. COMPLETE BLOCK DESIGNS 9. INCOMPLETE BLOCK DESIGNS: AN INTRODUCTION 10. INCOMPLETE BLOCK DESIGNS: RESOLVABLE AND CYCLIC DESIGNS 11. INCOMPLETE BLOCK DESIGNS: FACTORIAL TREATMENT DESIGNS 12. FRACTIONAL FACTORIAL DESIGNS 13. RESPONSE SURFACE DESIGNS 14. SPLIT-PLOT DESIGNS 15. REPEATED MEASURES DESIGNS 16. CROSSOVER DESIGNS 17. ANALYSIS OF COVARIANCE REFERENCES APPENDIX TABLES ANSWERS TO SELECTED EXERCISES INDEX

Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments

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This volume contains precise descriptions of the many related Six Sigma methods along with details of case studies showing how these methods have been applied in engineering and business to achieve substantial savings.