Single-stage sampling procedure for heteroscedasticity in multiple comparisons with a control

Miin Jye Wen; Chun Che Wen; Wei Ming Wang

doi:10.1080/03610918.2022.2053863

Single-stage sampling procedure for heteroscedasticity in multiple comparisons with a control

Miin Jye Wen, Chun Che Wen, Wei Ming Wang

Department of Statistics

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

2 Citations (Scopus)

Abstract

Given k (≥2) independent and normally distributed populations with unknown means and unknown (and possibly unequal) variances, we used the single-stage sampling procedure for multiple comparison with a control to the problem of unequal sample sizes. A simulation of the family-wise error type I was conducted to validate the quality of the procedure and a numerical example was provided for illustrating this procedure. We provided a user-friendly interface by R shiny to obtain the critical values for the practitioners.

Original language	English
Journal	Communications in Statistics: Simulation and Computation
DOIs	https://doi.org/10.1080/03610918.2022.2053863
Publication status	Accepted/In press - 2022

All Science Journal Classification (ASJC) codes

Statistics and Probability
Modelling and Simulation

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10.1080/03610918.2022.2053863

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abstract = "Given k (≥2) independent and normally distributed populations with unknown means and unknown (and possibly unequal) variances, we used the single-stage sampling procedure for multiple comparison with a control to the problem of unequal sample sizes. A simulation of the family-wise error type I was conducted to validate the quality of the procedure and a numerical example was provided for illustrating this procedure. We provided a user-friendly interface by R shiny to obtain the critical values for the practitioners.",

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AB - Given k (≥2) independent and normally distributed populations with unknown means and unknown (and possibly unequal) variances, we used the single-stage sampling procedure for multiple comparison with a control to the problem of unequal sample sizes. A simulation of the family-wise error type I was conducted to validate the quality of the procedure and a numerical example was provided for illustrating this procedure. We provided a user-friendly interface by R shiny to obtain the critical values for the practitioners.

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Single-stage sampling procedure for heteroscedasticity in multiple comparisons with a control

Abstract

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