Special Topics Regarding the Analysis

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

Chapter 14 in A Comprehensive Guide to Factorial Two-Level Experimentation, 2009, pp 437-468 from Springer

Abstract: Abstract Throughout this book we have used Lenth t statistics to conduct individual significance tests for unreplicated designs. Here we discuss modifications to Lenth’s method when there is minimal replication.We also discuss alternatives to Lenth’s method, especially for controlling the experimentwise error. In the previous chapter, we discussed structured sampling within runs in order to study different variance components. Here we illustrate the analysis of such data. This final chapter also discusses analysis for weighted least squares, mixed-model methods, and applications with too many response variables to analyze individually. We conclude with four tips to help one avoid common data analysis errors.

Keywords: False Discovery Rate; Saturated Model; Generalize Little Square; Orthogonal Design; Pure Error (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-89103-3_14

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DOI: 10.1007/b105081_14

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