Multiple comparison procedures with the average for exponential location parameters.

DOI10.1016/S0167-9473(97)00044-3zbMath1042.62583OpenAlexW1976060462WikidataQ127207559 ScholiaQ127207559MaRDI QIDQ1129142

Shu-Fei Wu, Hubert J. Chen

Publication date: 13 August 1998

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(97)00044-3

zbMATH Keywords

Subset selectionBonferroni inequalityMonte Carlo techniqueSimultaneous confidence interval

Mathematics Subject Classification ID

Related Items (9)

One stage multiple comparisons with the average for exponential location parameters under heteroscedasticity ⋮ Two stage multiple comparisons with the average for exponential location parameters under heteroscedasticity ⋮ Simultaneous fiducial generalized confidence intervals for the successive differences of exponential location parameters under heteroscedasticity ⋮ A note on the two-stage multiple comparison procedures with the average for exponential location parameters under heteroscedasticity ⋮ A note on the simultaneous confidence intervals for the successive differences of exponential location parameters under heteroscedasticity ⋮ On Two-Stage Selection of the Best Negative Exponential Population with Applications ⋮ Simultaneous confidence intervals for comparing several exponential location parameters with a control ⋮ New one-stage multiple comparison procedures with the average for exponential location parameters under heteroscedasticity ⋮ Comparing several exponential populations with more than one control

Cites Work

• Toward a universal random number generator
• Two-stage procedures for comparing several exponential populations with a control when the Scale Parameters are unknown and unequal
• An improved two-stage selection procedure
• Subset Selection Procedures: Review and Assessment
• Analysis of data from life-test experiments under an exponential model
• Multiple Comparison of Exponential Location Parameters with the Best Under Type II Censoring
• Tables of Percentage Points for the Studentized Maximum Absolute Deviate in Normal Samples
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