Design and analysis of experiments
Montgomery, Douglas C.
Design and analysis of experiments - 8th - New Delhi Wiley India Pvt. Ltd. 2017 - xvii, 726 p.
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.
9788126540501
Experimental design
001.434 / MON
Design and analysis of experiments - 8th - New Delhi Wiley India Pvt. Ltd. 2017 - xvii, 726 p.
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.
9788126540501
Experimental design
001.434 / MON