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On a Mixed‐Type Randomized Rule for Selecting Superior Binomial Models
Author(s) -
Huang WenTao,
Saleh A. K. Md. Ehsanes
Publication year - 1987
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710290716
Subject(s) - class (philosophy) , selection (genetic algorithm) , binomial (polynomial) , mathematics , monte carlo method , computer science , type (biology) , binomial distribution , mathematical optimization , artificial intelligence , statistics , ecology , biology
We propose a new class of selection rules for selecting superior models from finite Binomial models. This new class of rules extends the classes of classical rules and shows its superiority to the classical selection rules by some Monte Carlo results. This new class of rules is easier and more flexible to apply than these known classical rules.