Description

# DOE Simplified (3^{rd} Ed.)

Practical Tools for Effective Experimentation, Third Edition

## Authors: Anderson Mark J., Whitcomb Patrick J.

Language: Anglais## Subjects for *DOE Simplified*:

Approximative price 202.33 €

In Print (Delivery period: 13 days).

Add to cart the livre of Anderson Mark J., Whitcomb Patrick J.Publication date: 08-2017

· 17.8x25.4 cm · Hardback

Approximative price 55.47 €

In Print (Delivery period: 13 days).

Add to cart the livre of Anderson Mark J., Whitcomb Patrick J.Publication date: 05-2015

268 p. · 17.8x25.4 cm · Paperback

## Description

/li>## Contents

/li>## Readership

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**Basic Statistics for DOE**The "X" Factors

Does Normal Distribution Ring Your Bell?

Descriptive Statistics: Mean and Lean

Confidence Intervals Help You Manage Expectations

Graphical Tests Provide Quick Check for Normality

Practice Problems

**Simple Comparative Experiments**

The F-Test Simplified

A Dicey Situation: Making Sure They Are Fair

Catching Cheaters with a Simple Comparative Experiment

Blocking Out Known Sources of Variation

Practice Problems

**Two-Level Factorial Design**

Two-Level Factorial Design: As Simple as Making Microwave Popcorn

How to Plot and Interpret Interactions

Protect Yourself with Analysis of Variance (ANOVA)

Modeling Your Responses with Predictive Equations

Diagnosing Residuals to Validate Statistical Assumptions

Practice Problems

Appendix: How to Make a More Useful Pareto Chart

**Dealing with Nonnormality via Response Transformations**

Skating on Thin Ice

Log Transformation Saves the Data

Choosing the Right Transformation

Practice Problem

**Example of Fractional Factorial at Its Finest**

Fractional Factorials

Fractional Factorials

Potential Confusion Caused by Aliasing in Lower Resolution Factorials

Plackett–Burman Designs

Irregular Fractions Provide a Clearer View

Practice Problem

**Getting the Most from Minimal-Run Designs**

Minimal-Resolution Design: The Dancing Raisin Experiment

Complete Foldover of Resolution III Design

Single-Factor Foldover

Choose a High-Resolution Design to Reduce Aliasing Problems

Practice Problems

Appendix: Minimum-Run Designs for Screening

**General Multilevel Categoric Factorials**

Putting a Spring in Your Step: A General Factorial Design on Spring Toys

How to Analyze Unreplicated General Factorials

Practice Problems

Appendix: Half-Normal Plot for General Factorial Designs

Response Surface Methods for Optimization

Center Points Detect Curvature in Confetti

Augmenting to a Central Composite Design (CCD)

Finding Your Sweet Spot for Multiple Responses

**Mixture Design**

Two-Component Mixture Design: Good as Gold

Three-Component Design: Teeny Beany Experiment

**Back to the Basics: The Keys to Good DOE**

A Four-Step Process for Designing a Good Experiment

A Case Study Showing Application of the Four-Step Design Process

Appendix: Details on Power

Managing Expectations for What the Experiment Might Reveal

Increase the Range of Your Factors

Decrease the Noise (σ) in Your System

Accept Greater Risk of Type I Error (α)

Select a Better and/or Bigger Design

**Split-Plot Designs to Accommodate Hard-to-Change Factors**

How Split Plots Naturally Emerged for Agricultural Field Tests

Applying a Split Plot to Save Time Making Paper Helicopters

Trade-Off of Power for Convenience When Restricting Randomization

One More Split Plot Example: A Heavy-Duty Industrial One

**Practice Experiments**

Practice Experiment #1: Breaking Paper Clips

Practice Experiment #2: Hand–Eye Coordination

Other Fun Ideas for Practice Experiments

Ball in Funnel

Flight of the Balsa Buzzard

Paper Airplanes

Impact Craters

**Appendix 1**

Two-Tailed t-Table

F-Table for 10%

F-Table for 5%

F-Table for 1%

F-Table for 0.1%

**Appendix 2**

Four-Factor Screening and Characterization Designs

Screening Main Effects in 8 Runs

Screening Design Layout

Alias Structure

Characterizing Interactions with 12 Runs

Characterization Design Layout

Alias Structure for Factorial Two-Factor Interaction Model

Alias Structure for Factorial Main Effect Model

Five-Factor Screening and Characterization Designs

Screening Main Effects in 12 Runs

Screening Design Layout

Alias Structure

Characterizing Interactions with 16 Runs

Design Layout

Alias Structure for Factorial Two-Factor Interaction (2FI) Model

Six-Factor Screening and Characterization Designs

Screening Main Effects in 14 Runs

Screening Design Layout

Alias Structure

Characterizing Interactions with 22 Runs

Design Layout

Alias Structure for Factorial Two-Factor Interaction (2FI) Model

Seven-Factor Screening and Characterization Designs

Screening Design Layout

Alias Structure

Characterizing Interactions with 30 Runs

Design Layout

Alias Structure for Factorial Two-Factor Interaction (2FI) Model

**Glossary**

Statistical Symbols

Terms

**Recommended Readings**

Textbooks

Case Study Articles

**Index**