An Analysis for Unreplicated Fractional Factorials
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Summary
A more formal analysis is presented here, which may be used to supplement such plots and hence to facilitate the use of these unreplicated experimental arrangements.
- Type
- article
- Published
- 1986-02-01
- Cited by
- 632
- References
- 15
- OpenAlex
- https://openalex.org/W1964105999
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:119485662
Keywords
Product (mathematics), Pareto principle, Process (computing), Quality (philosophy), Computer science
References
- Choice of Response Surface Design and Alphabetic Optimality.
- Design of Experiments
- Sampling and Bayes' inference in scientific modelling and robustness
- Statistics for experimenters
- Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments
- A bayesian approach to some outlier problems.
- THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS
- THE FRACTIONAL REPLICATION OF FACTORIAL ARRANGEMENTS
- Statistical Analysis in Chemistry and the Chemical Industry
- Factorial Experiments Derivable from Combinatorial Arrangements of Arrays
- Statistics and Experimental Design
- Applications of Statistics to Industrial Experimentation: Daniel/Applications
- Design and analysis of industrial experiments
- Applications of Statistics to Industrial Experimentation.
- Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments
- Applications of Statistics to Industrial Experimentation.
- Design and Analysis of Industrial Experiments.
- On the Experimental Attainment of Optimum Conditions
- Statistical Analysis in Chemistry and the Chemical Industry
- Design and Analysis of Industrial Experiments.
Cited by
- Plotting Scaled Effects From Unreplicated Orthogonal Experiments
- Properties of some minimum run resolution IV designs
- Some properties of the Raghavaroao 13 factor foldover design
- Confounding of Location and Dispersion Effects in Unreplicated Fractional Factorials
- Significance tests for saturated orthogonal arrays
- Split-Plot Designs: What, Why, and How
- Using Hierarchical Probability Models to Evaluate Robust Parameter Design Methods
- FORWARD SELECTION ERROR CONTROL IN THE ANALYSIS OF SUPERSATURATED DESIGNS
- Calibration of the Length Test for Unreplicated Factorial Designs
- Objective Bayesian Variable Selection for Censored Data
- A Simple Analysis of Unreplicated Factorials with Possible Abnormalities
- A Bayesian Plotting Method for Fractional Factorial Data Analysis
- Design and Analysis of Screening Experiments Assuming Effect Sparsity
- Finding Significant Effects for Unreplicated Fractional Factorials Using the n Smallest Contrasts
- Improving the practice of experimental design in manufacturing engineering
- Supersaturated Split-Plot Designs
- An Adaptation of the Bergman–Hynén Test for Dispersion Effects in Unreplicated Two-Level Factorial Designs When the Location Model May Be Incorrect
- Use of a Normality Test to Identify Significant Effects in Factorial Designs
- Bayesian Variable Selection for Fractional Factorial Experiments with Multilevel Categorical Factors
- Ranking non-regular designs
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