000			03273cam a2200265 a 4500
008			080303s1993 nyua b 001 0 eng
010			_a93083224
020			_a003097710X
035			_a(Sirsi) u3
040			_aEG-CaNU _cEG-CaNU _dEG-CaNU
042			_ancode
082	0	0	_a001.434 _2 21
100	1		_aHicks, Charles Robert, _d 1920- _95655
245	1	0	_aFundamental concepts in the design of experiments / _c Charles R. Hicks.
250			_a4th ed.
260			_aNew York : _b Saunders College Publishing, _c 1993.
300			_a509 p. : _b ill. ; _c 24 cm.
504			_aIncludes bibliographical references and index.
505	0		_a1. the experiment, the design, and the analysis -- 2. Review of statistical inference -- 3. Single-factor experiments with no restrictions on randomization -- 4. Single-factor experiments -- 5. Factorial experiments -- 6. Fixed, random, and mixed models -- 7. Nested and nested-factorial experiments -- 8. experiments of two or more factors-restrictions on randomization -- 9. 2f Factorial experiments -- 10. 3f Factorial experiments -- 11. Factorial experiments-split-plot design -- 12. Factorial experiment-confounding in blocks -- 13. Fractional Replication -- 14. Taguchi approach to the design of experiments -- 15. Regression -- 16. Miscellaneous topics.
520			_aThis text is a solid revision and redesign of Charles Hicks' comprehensive fourth edition of Fundamental Concepts in the Design of Experiments. It covers the essentials of experimental design used by applied researchers in solving problems in the field. It is appropriate for a variety of experimental methods courses found in engineering and statistics departments. Students learn to use applied statistics for planning, running, and analyzing as an experiment. Students learn to use applied statistics for planning, running, and analyzing an experiment. The text includes 350+ problems taken from the author's actual industrial consulting experiences to give students valuable practice with real data and problem solving. About 60 new problems have been added for this edition. SAS (Statistical Analysis System) computer programs are incorporated to facilitate analysis. There is extensive coverage of the analysis of residuals, the concepts of resolution in fractional replications, the Plackett-Burman designs, and Taguchi techniques. The new edition will place a greater emphasis on computer use, include additional problems, and add computer outputs from statistical packages like Minitab, SPSS, and JMP. The book is written for anyone engaged in experimental work who has a good background in statistical inference. It will be most profitable reading to those witha background in statistical methods including analysis of variance. This text is suitable for senior undergraduate/graduate level students in mathematics, statistics, or engineering. It is appropriate for a variety of experimental methods courses found in engineering and statistics deparmtents -- majors in this course are usually in applied statistics; non-majors, in industrial and electrical engineering, or education and life sciences.
650		0	_aAnalysis of variance. _95656
650		0	_aExperimental design. _95657
650		0	_aAnalysis of means. _95658
596			_a1
999			_c2008 _d2008