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Main Title Fundamental concepts in the design of experiments /
Author Hicks, Charles Robert,
Other Authors
Author Title of a Work
Turner, Kenneth V.
Publisher Oxford University Press,
Year Published 1999
OCLC Number 39849292
ISBN 0195122739; 9780195122732
Subjects Experimental design ; Experimenteel ontwerp ; Delineamento experimental ; Estat istica
Internet Access
Description Access URL
Publisher description
Library Call Number Additional Info Location Last
EKCM  QA279.H53 1999 CEMM/GEMMD Library/Gulf Breeze,FL 08/11/2000
Edition 5th ed.
Collation x, 565 pages : illustrations ; 25 cm
Includes bibliographical references and index.
Contents Notes
Ch. 1. The Experiment, the Design, and the Analysis -- Ch. 2. Review of Statistical Inference -- Ch. 3. Single-Factor Experiments with No Restrictions on Randomization. Ch. 4. Single-Factor Experiments: Randomized Block and Latin Square Designs -- Ch. 5. Factorial Experiments -- Ch. 6. Fixed, Random, and Mixed Models -- Ch. 7. Nested and Nested-Factorial Experiments. Ch. 8. Experiments of Two or More Factors: Restrictions on Randomization -- Ch. 9. 2 [superscript f] Factorial Experiments -- Ch. 10. 3 [superscript f] Factorial Experiments -- Ch. 11. Factorial Experiment: Split-Plot Design. Ch. 12. Factorial Experiment: Confounding in Blocks -- Ch. 13. Fractional Replication -- Ch. 14. The Taguchi Approach to the Design of Experiments -- Ch. 15. Regression -- Ch. 16. Miscellaneous Topics. Fundamental Concepts in the Design of Experiments, 5/e offers comprehensive coverage of the key elements of experimental design used by applied researchers to solve problems in the field. Wide-ranging and accessible, it shows students how to use applied statistics for planning, running, and analyzing experiments. Featuring over 350 problems taken from the authors' actual industrial consulting experiences, the text gives. Students valuable practice with real data and problem solving. The problems emphasize the basic philosophy of design and are simple enough for students with limited mathematical backgrounds to understand. The authors provide extensive coverage of the analysis of residuals, the concept of resolution. Fractional replications, Plackett-Burman designs, and Taguchi techniques. SAS (Statistical Analysis System) computer programs are incorporated to facilitate analysis.