Fundamental Concepts in the Design of Experiments

ISBN-13: 9780195122732
ISBN-10: 0195122739
Edition: 5
Author: Charles R. Hicks, Kenneth V. Turner
Publication date: 1999
Publisher: Oxford University Press
Format: Hardcover 576 pages
Category: Design
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Book details

ISBN-13: 9780195122732
ISBN-10: 0195122739
Edition: 5
Author: Charles R. Hicks, Kenneth V. Turner
Publication date: 1999
Publisher: Oxford University Press
Format: Hardcover 576 pages
Category: Design

Summary

Acknowledged author Charles R. Hicks wrote Fundamental Concepts in the Design of Experiments comprising 576 pages back in 1999. Textbook and eTextbook are published under ISBN 0195122739 and 9780195122732. Since then Fundamental Concepts in the Design of Experiments textbook was available to sell back to BooksRun online for the top buyback price of $ 22.92 or rent at the marketplace.

Description

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 in fractional replications, Plackett-Burman designs, and Taguchi techniques. SAS (Statistical Analysis System) computer programs are incorporated to facilitate analysis.
Thoroughly revised and updated, this new edition includes sixty new problems, focuses more on computer use (adding computer outputs from statistical packages like Minitab, SPSS, and JMP), and emphasizes graphical procedures including residual plots and normal quantile plots. Ideal for various advanced undergraduate and graduate experimental methods courses taught in statistics, engineering, and mathematics departments, this book will also appeal to professionals and researchers doing experimental work.

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