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Design and Analysis of Experiments 9th Edition by Douglas C Montgomery ISBN 1119299365 9781119299363

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Design and Analysis of Experiments 9th Edition Douglas C. Montgomery Digital Instant Download

Author(s): Douglas C. Montgomery
ISBN(s): 9781119299363, 1119299365
Edition: 9th
File Details: PDF, 10.87 MB
Year: 2017
Language: english
SKU: EB-7174498 Category: Tag:

Design and Analysis of Experiments 9th Edition by Douglas C Montgomery – Ebook PDF Instant Download/Delivery: 1119299365, 9781119299363
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ISBN 10: 1119299365 
ISBN 13: 9781119299363
Author: Douglas C Montgomery

Design and Analysis of Experiments, 9th Editioncontinues to help senior and graduate students in engineering, business, and statistics-as well as working practitioners-to design and analyze experiments for improving the quality, efficiency and performance of working systems.

This bestselling textmaintains 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.

Design and Analysis of Experiments 9th Table of contents:

Part I: Introduction and Fundamentals

  1. Introduction

  2. Components of Experimental Design

  3. Guidelines for Designing Experiments

Part II: Experiments with a Single Factor
4. Completely Randomized Designs
5. Randomized Complete Block Designs
6. Latin Square Designs

Part III: Factorial Designs
7. Introduction to Factorial Designs
8. Two-Level Factorial Designs
9. Blocking and Confounding in Factorial Designs
10. Factorial Designs with More than Two Levels

Part IV: Experiments with Random Factors and Covariates
11. Random Effects Models
12. Covariance Analysis
13. Nested and Split-Plot Designs

Part V: Response Surface Methods and Mixture Designs
14. Introduction to Response Surface Methodology
15. Second-Order Designs
16. Mixture Experiments

Part VI: Special Topics and Applications
17. Robust Parameter Design
18. Industrial Experimentation
19. Taguchi Methods

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