Common Randomization Restrictions

Robert W. Mee
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Robert W. Mee: University of Tennessee, Department of Statistics, Operations, and Management Science

Chapter 3 in A Comprehensive Guide to Factorial Two-Level Experimentation, 2009, pp 75-114 from Springer

Abstract: Abstract 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 manner. Hence, they are divided into several smaller experiments, commonly called blocks. Having some difficult-to-change factors is a second reason for restricting the assigned order for treatment combinations. In such cases, the assignment is restricted to make the experiment more convenient to conduct. This chapter presents the details of how to construct such designs, and how to analyze the resulting data.

Keywords: Treatment Combination; Experimental Unit; Machine Type; Machine Interaction; Small Experiment (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/b105081_3

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