Multiple comparisons with the average for normal distributions

Multiple comparisons with the average for normal distributions

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Article ID: iaor19992101
Country: United States
Volume: 18
Issue: 1/2
Start Page Number: 193
End Page Number: 218
Publication Date: Jan 1998
Journal: American Journal of Mathematical and Management Sciences
Authors: ,
Keywords: simulation: languages & programs
Abstract:

In this article we propose some multiple comparison procedures with the average. Simultaneous confidence intervals are considered for normal distributions with common known or unknown variances. These procedures can be used to identify better-than-the-average, worse-than-the-average and not-much-different-from-the-average products in agriculture, stock market, medical research, and auto models. The percentage points for singular multivariate normal and multivariate t distributions are investigated. Furthermore, the case of normal distributions under heteroscedasticity is also developed. An example is given.

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