Planning of Experiments
Published on 23. June 1992
Book
Paperback/Softback
320 pages
978-0-471-57429-3 (ISBN)
Description
Offers a comprehensive nonmathematical treatment regarding the design and analysis of experiments, focusing on basic concepts rather than calculation of technical details. Much of the discussion is in terms of examples drawn from numerous fields of applications. Subjects include the justification and practical difficulties of randomization, various factors occurring in factorial experiments, selecting the size of an experiments, different purposes for which observations may be made and much more.
More details
Series
Edition
Wiley Classics Lib edition
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 19 mm
Weight
522 gr
ISBN-13
978-0-471-57429-3 (9780471574293)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
D. R. Cox
Planning of Experiments
Book
01/1958
Wiley
€106.41
Article exhausted; check different version
Person
D. R. Cox is the author of Planning of Experiments, published by Wiley.
Content
Preliminaries.
Some Key Assumptions.
Designs for the Reduction of Error.
Use of Supplementary Observations to Reduce Error.
Randomization.
Basic Ideas About Factorial Experiments.
Design of Simple Factorial Experiments.
Choice of Number of Observations.
Choice of Units, Treatments, and Observations.
More About Latin Squares.
Incomplete Nonfactorial Designs.
Fractional Replication and Confounding.
Cross-Over Designs.
Some Special Problems.
General Bibliography.
Appendix.
Indexes.
Some Key Assumptions.
Designs for the Reduction of Error.
Use of Supplementary Observations to Reduce Error.
Randomization.
Basic Ideas About Factorial Experiments.
Design of Simple Factorial Experiments.
Choice of Number of Observations.
Choice of Units, Treatments, and Observations.
More About Latin Squares.
Incomplete Nonfactorial Designs.
Fractional Replication and Confounding.
Cross-Over Designs.
Some Special Problems.
General Bibliography.
Appendix.
Indexes.