Design and analysis of experiments

By:

Montgomery, Douglas C

Material type: Text

TextPublication details: Wiley India Pvt. Ltd. New Delhi 2017Edition: 8thDescription: xvii, 726 pISBN:

9788126540501

Subject(s):

Experimental design

DDC classification:

001.434 MON

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, 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.

List(s) this item appears in: Operation & quantitative Techniques | Public Policy & General Management

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	001.434 MON (Browse shelf(Opens below))	1	Available		000588

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Table of Content
Introduction to Designed Experiments

• Basic Statistical Methods

• Analysis of Variance

• Experiments with Blocking Factors

• Factorial Experiments

• Two-Level Factorial Designs

• Blocking and Confounding Systems for Two-Level Factorials

• Two-Level Fractional Factorial Designs

• Other Topics on Factorial and Fractional Factorial Designs

• Regression Modeling

• Response Surface Methodology

• Robust Design

• Random Effects Models

• Experiments with Nested Factors and Hard-to-Change Factors

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, 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.

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