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COMPARISONS AND SELECTION OF TWO‐PARAMETER EXPONENTIAL POPULATIONS
Author(s) -
Bofinger Eve
Publication year - 1992
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1992.tb01044.x
Subject(s) - selection (genetic algorithm) , exponential function , confidence interval , statistics , simple (philosophy) , population , scale parameter , mathematics , scale (ratio) , computer science , artificial intelligence , mathematical analysis , geography , demography , philosophy , cartography , epistemology , sociology
Summary For two‐parameter exponential populations with the same scale parameter (known or unknown) comparisons are made between the location parameters. This is done by constructing confidence intervals, which can then be used for selection procedures. Comparisons are made with a control, and with the (unknown) “best” or “worst” population. Emphasis is laid on finding approximations to the confidence so that calculations are simple and tables are not necessary. (Since we consider unequal sample sizes, tables for exact values would need to be extensive.)