Statistical Principles of Research Design and Analysis / Edition 1

Statistical Principles of Research Design and Analysis / Edition 1

by Robert O. Kuehl
     
 

ISBN-10: 0534188044

ISBN-13: 9780534188047

Pub. Date: 03/28/1994

Publisher: Wadsworth

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

Overview

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.

Product Details

ISBN-13:
9780534188047
Publisher:
Wadsworth
Publication date:
03/28/1994
Edition description:
Older Edition
Pages:
686
Product dimensions:
7.69(w) x 9.59(h) x 1.33(d)

Table of Contents

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.

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