DeepDyve eBooks - A Comprehensive Guide to Factorial Two-Level Experimentation

Introduction to Full Factorial Designs with Two-Level Factors

Mee, Robert W.

Pages: 3 –26

[Factorial experiments with two-level factors are used widely because they are easy to design, efficient to run, straightforward to analyze, and full of information. This chapter illustrates these benefits. The standard regression models for summarizing data from full factorial experiments are...

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Analysis of Full Factorial Experiments

Mee, Robert W.

Pages: 27 –74

[This chapter details how to analyze 2k factorial experiments and is organized]

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Common Randomization Restrictions

Mee, Robert W.

Pages: 75 –114

[The examples presented in Chapters 1 and 2 were either unreplicated full factorial designs with random assignment of treatment combinations to runs or they were replicated experiments obtained without any restriction to run order. Some experiments are too large to be run effectively in this...

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More Full Factorial Design Examples

Mee, Robert W.

Pages: 115 –142

[This chapter contains the analysis of three interesting experiments reported in the literature. ]

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Fractional Factorial Designs: The Basics

Mee, Robert W.

Pages: 145 –171

[This chapter presents the essential ideas of regular fractional factorial designs. Its sections are as follows: Section 5.1. Initial Fractional Factorial Example Section 5.2. Introduction to Regular Fractional Factorial Designs Section 5.3. Basic Analysis of Regular Fractional Factorial Designs...

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Fractional Factorial Designs for Estimating Main Effects

Mee, Robert W.

Pages: 173 –244

[This chapter focuses on efficient designs intended for estimating main effects, including regular resolution III 2k−f fractional factorial designs, Plackett– Burman and other designs based on Hadamard matrices, nonorthogonal saturated main effect designs, and supersaturated designs. These...

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Designs for Estimating Main Effects and Some Two-Factor Interactions

Mee, Robert W.

Pages: 245 –282

[This chapter presents regular resolution IV 2k−ffractional factorial designs, strength-3 orthogonal arrays, and folded-over nonorthogonal designs. Provided three-factor and higher-order interactions are negligible, all of these designs provide unbiased estimates for main effects. These designs...

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Resolution V Fractional Factorial Designs

Mee, Robert W.

Pages: 283 –316

[In many applications, one would like to estimate all main effects and twofactor interactions. This chapter presents designs for estimating such models, including regular resolution V 2k−f fractional factorial designs, strength-4 orthogonal arrays, and nonorthogonal designs.]

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Augmenting Fractional Factorial Designs

Mee, Robert W.

Pages: 317 –342

[Fractional factorial designs should often be followed by additional experimentation, either with another designed experiment or with confirmation runs. This chapter surveys the options and then discusses several particularly common situations.]

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Fractional Factorial Designs with Randomization Restrictions

Mee, Robert W.

Pages: 343 –374

[Run order restrictions were discussed for full factorial designs in Chapter 3. Here we consider how to conduct fractional factorials as randomized block or split-unit experiments.]

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A Comprehensive Guide to Factorial Two-Level Experimentation

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A Comprehensive Guide to Factorial Two-Level Experimentation

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