Design and analysis of experiments
Material type:
TextPublication details: New Delhi Wiley India Pvt. Ltd. 2017 Edition: 8thDescription: xvii, 726 pISBN: 9788126540501Subject(s): Experimental designDDC classification: 001.434 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 001.434 MON (Browse shelf(Opens below)) | 1 | Available | 000588 |
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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