Fundamental Concepts in the Design of Experiments

Hicks, Charles R.; Turner Jr., Kenneth V.

ISBN 10: 0195122739 / ISBN 13: 9780195122732

Published by Oxford University Press, 1999

About this Item

5th edition; Pages are mostly clean, unmarked, and tight but there is some pencil writing and yellow highlighting; name written inside front cover and bottom edge; light soiling on outer edges; cover has light shelf and corner wear.

Seller Inventory # 066210

Bibliographic Details

• Title: Fundamental Concepts in the Design of Experiments
• Publisher: Oxford University Press
• Publication Date: 1999
• Language: English
• ISBN 10: 0195122739
• ISBN 13: 9780195122732
• Binding: Hardcover
• Edition: 5th or later Edition
• Condition: ACCEPTABLE
• Dust Jacket Condition: NONE
• Seller catalogs:
  • SCIENCE

About this title

Synopsis

This text is a solid revision and redesign of Charles Hicks's 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 analysing 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 with a 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.

Review

"An excellent presentation of the basic concepts of experimental design. It uses many numerical examples with 'real' data. It is clearly written and at the appropriate level for my students."--Noel Artiles-Leon, University of Puerto Rico