Open AccessEXPONENTIAL SUBSET SELECTIONS BASED ON CENSORED DATA
Author(s) -
Wen-Tao Huang,
Chin-Chuan Wu
Publication year - 1990
Publication title -
tamkang journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 18
eISSN - 0049-2930
pISSN - 2073-9826
DOI - 10.5556/j.tkjm.21.1990.4697
Subject(s) - mathematics , monotonic function , exponential function , selection (genetic algorithm) , statistics , exponential distribution , exponential growth , discrete mathematics , combinatorics , computer science , artificial intelligence , mathematical analysis
We propose two selection rules for selecting the largest sea.le parameter among $k (\ge 2)$ exponential populations based on type II censored data. Monotonicity properties of these rules have been shown and the respective infunum of probability of correct selection are computed. Expected size of subset selected are also computed. Some numerical studies of these two rules have also been made.