Design and analysis of experiments / Douglas C. Montgomery, Arizona State University.

By:

Montgomery, Douglas C

Material type: Text

TextPublication details: Hoboken, NJ : John Wiley & Sons, Inc., [2013]Edition: Eighth editionDescription: xvii, 725 pages : illustrations ; 26 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9788126540501

Subject(s):

DDC classification:

519.57 MON/D

LOC classification:

QA279 .M66 2013

Other classification:

TEC009060

Online resources:

Summary: "The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems. Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book"-- Provided by publisher.

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	MES KC LIBRARY STATISTICS	Statistics	519.57 MON/D (Browse shelf(Opens below))	Available	GL21R4		42738

Includes bibliographical references (pages 719-724) and index.

"The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems. Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book"-- Provided by publisher.

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