A sequential triangular test of a correlation coefficient’s null-hypothesis: (Formula presented.)

Berthold Schneider, Dieter Rasch, Klaus D. Kubinger, Takuya Yanagida

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

A sequential triangular test of the null-hypothesis $$\hbox {H}_{0}{:} 0<\rho \le \rho _{0}$$H0:0<ρ≤ρ0 is derived, given a two-dimensional vector of normal random variables (x, y). The test is based on an approximate normally distributed test statistic by Fisher’s transformation of the sample correlation coefficient. We show via simulation that for certain requirements of precision (type-I-, type-II-risk, and a practical relevant effect $$\delta =\rho _1 -\rho _0$$δ=ρ1-ρ0) the average sample size of the sequential triangular test is smaller than the sample size of the pertinent fixed sample size test.

Original languageEnglish
Pages (from-to)689-699
Number of pages11
JournalStatistical Papers
Volume56
Issue number3
DOIs
Publication statusPublished - 23 Aug 2015

Keywords

  • Correlation coefficient
  • Simulation
  • Test of hypothesis
  • Triangular sequential test

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