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Majorization framework for balanced lattice designs

  • Aijun Zhang
  • , Kai Tai Fang
  • , Runze Li
  • , Agus Sudjianto

Research output: Contribution to journalArticlepeer-review

Abstract

This paper aims to generalize and unify classical criteria for comparisons of balanced lattice designs, including fractional factorial designs, supersaturated designs and uniform designs. We present a general majorization framework for assessing designs, which includes a stringent criterion of majorization via pairwise coincidences and flexible surrogates via convex functions. Classical orthogonality, aberration and uniformity criteria are unified by choosing combinatorial and exponential kernels. A construction method is also sketched out.

Original languageEnglish (US)
Pages (from-to)2837-2853
Number of pages17
JournalAnnals of Statistics
Volume33
Issue number6
DOIs
StatePublished - Dec 2005

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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