Testing Equality of Correlated Means in the Presence of Unequal Variances and Missing Values

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Abstract

Several statistics are proposed for testing the hypothesis of equality of the means of bivariate normal distribution with unknown variances and correlation coefficient when observations are missing on both variatea. The null distributions of the statistics are approximated by well‐known distributions. The empirical sizes and powers of the statistics are computed and compared with paired t test and some of the known statistics based on available data. The comparisons support the use of two of the statistics proposed in this paper.

Original languageEnglish (US)
Pages (from-to)661-671
Number of pages11
JournalBiometrical Journal
Volume33
Issue number6
DOIs
StatePublished - 1991

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • Bivariate normal
  • Combination of tests
  • Equality of means
  • Missing data
  • Welch approximate test

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