'Factor interaction' diaporamas de présentation

Factorial Experiments

2.05k views • 173 slides

Factorial Experiments

1.75k views • 173 slides

Factorial Experiments

1.28k views • 110 slides

Design of Experiments with Several Factors

14. Design of Experiments with Several Factors. CHAPTER OUTLINE. 14-1 Introduction 14-2 Factorial Experiments 14-3 Two-Factor Factorial Experiments 14-3.1 Statistical analysis of the fixed- effects model 14-3.2 Model adequacy checking 14-3.3 One observation per cell

1.24k views • 106 slides

Conditional Test Statistics

Conditional Test Statistics. Suppose that we are considering two Log-linear models and that Model 2 is a special case of Model 1. That is the parameters of Model 2 are a subset of the parameters of Model 1. Also assume that Model 1 has been shown to adequately fit the data.

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Conditional Test Statistics

Conditional Test Statistics. Suppose that we are considering two Log-linear models and that Model 2 is a special case of Model 1. That is the parameters of Model 2 are a subset of the parameters of Model 1. Also assume that Model 1 has been shown to adequately fit the data.

438 views • 33 slides

Design and Analysis of Multi-Factored Experiments

Design and Analysis of Multi-Factored Experiments. Design Resolution and Minimal-Run Designs. Design Resolution for Fractional Factorial Designs. The concept of design resolution is a useful way to catalog fractional factorial designs according to the alias patterns they produce.

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Constructing Orthogonal Arrays

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The successful use of fractional factorial designs is based on three key ideas:

Fractional Factorial. The successful use of fractional factorial designs is based on three key ideas: The sparsity of effects principle. When there are several variables, the system or process is likely to be driven primarily by some of the main effects an low order interactions.

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EQT373 STATISTIC FOR ENGINEERS Design of Experiment (DOE)

EQT373 STATISTIC FOR ENGINEERS Design of Experiment (DOE). Noorulnajwa Diyana Yaacob School of Bioprocess Engineering Universiti Malaysia Perlis 30 April 2012 DKD 1. DOE Objectives. At the end of this class, the student will be able to :

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Fractional Factorial Experiments (Continued)

Fractional Factorial Experiments (Continued). The concept of design resolution is a useful way to categorize fractional factorial designs. The higher the resolution of the design the better. However, as expected, to achieve higher resolution more experimentation is sometimes necessary.

330 views • 7 slides