Pairwise comparisons of the means of skewed data

Wanzhu Tu, Xiao Hua Zhou

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This paper considers the problem of pairwise comparisons of the means of skewed data with special emphasis on log-normal distributions. Bootstrap procedures are proposed to approximate the sampling distribution of the pivotal statistic generating the simultaneous confidence sets of the pairwise differences. The operating characteristics of the proposed methods are compared with the widely used Bonferroni pairwise procedure in a simulation study. A clinical example is used to illustrate the proposed procedures.

Original languageEnglish
Pages (from-to)59-74
Number of pages16
JournalJournal of Statistical Planning and Inference
Volume88
Issue number1
StatePublished - Jul 1 2000

Fingerprint

Pairwise Comparisons
Normal distribution
Statistics
Sampling
Pairwise
Confidence Set
Bonferroni
Sampling Distribution
Log Normal Distribution
Operating Characteristics
Bootstrap
Statistic
Simulation Study
Pairwise comparisons

Keywords

  • Bootstrap
  • Log-normal distribution
  • Pairwise comparison
  • Primary 62F25
  • Secondary 62P99
  • Skewed data

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Statistics and Probability

Cite this

Pairwise comparisons of the means of skewed data. / Tu, Wanzhu; Zhou, Xiao Hua.

In: Journal of Statistical Planning and Inference, Vol. 88, No. 1, 01.07.2000, p. 59-74.

Research output: Contribution to journalArticle

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