Orthogonal parallel-flats designs for hierarchical models

C. T. Liao

Statistics & Probability Letters, 2000, vol. 46, issue 4, 329-335

Abstract: Orthogonal designs are very popular in many experimental studies because of their optimality properties, ease of analysis, and ease of interpretation. In this paper, we prove a necessary and sufficient condition for a parallel-flats design to be orthogonal for estimating the factorial effects of hierarchical models for general s1n1xs2n2x...xsgng mixed factorial experiments, where s1,s2,...,sg are assumed to be distinct primes. Some examples are given to illustrate the results.

Keywords: Orthogonal; arrays; Fractional; factorial; designs; Design; resolution; Complex; factorial; effects (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (1)

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