A Monte Carlo Comparison of Some t-Tests

Ravinder Nath

doi:10.1080/00949658408810779

A Monte Carlo Comparison of Some t-Tests

Ravinder Nath

Research output: Contribution to journal › Article › peer-review

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Abstract

A class of statistical tests for testing the hypothesis Ho: Δ = 0, where Δ is a location parameter, is proposed. The test statistic is defined in terms of the signed ranks of the sample data. It is shown, by the method of moment matching, that under the null hypothesis test statistics in the proposed class have approximately a i-distribution. A Monte Carlo simulation study is presented inorder to compare the significance levels and Power of these tests with numerous other tests.

Original language	English (US)
Pages (from-to)	235-260
Number of pages	26
Journal	Journal of Statistical Computation and Simulation
Volume	20
Issue number	3
DOIs	https://doi.org/10.1080/00949658408810779
State	Published - Nov 1984
Externally published	Yes

All Science Journal Classification (ASJC) codes

Statistics and Probability
Modeling and Simulation
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1080/00949658408810779

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abstract = "A class of statistical tests for testing the hypothesis Ho: Δ = 0, where Δ is a location parameter, is proposed. The test statistic is defined in terms of the signed ranks of the sample data. It is shown, by the method of moment matching, that under the null hypothesis test statistics in the proposed class have approximately a i-distribution. A Monte Carlo simulation study is presented inorder to compare the significance levels and Power of these tests with numerous other tests.",

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A Monte Carlo Comparison of Some t-Tests

Abstract

All Science Journal Classification (ASJC) codes

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