Some Run Orders Requiring a Minimum Number of Factor Level Changes for the 2 4 and 2 5 Main Effect Plans

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Optimal Experimental Design Methods Statistical Methods and Applications Simulation Techniques and Applications

Abstract

It is often desirable to execute the observations in an experimental design in such an order that the number of factor level changes is kept small. This paper describes a study which utilized a computer program written to examine run orders requiring a minimum number of factor level changes and select those in which the correlations between the main effects and a linear time trend are small. Some results are given for the 24 and 25 designs.

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1968Factor Changes and Linear Trends in Eight-Run Two-Level Factorial Designs 1966Factorial 2p–qPlans Robust Against Linear and Quadratic Trends

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1995Designing Two-Level Factorial Experiments Using Orthogonal Arrays when the Run Order is Important 2009Experimentation order with good properties for 2 k factorial designs 1990Time Trends and Factorial Experiments 1997Bias in test statistics when restrictions in randomization are caused by factors

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