Abstract: The problem of point estimation for several forms of the all-or-none learning models is examined. Possible estimation procedures leading to estimators satisfying small sample optimality criteria are presented, and asymptotic distribution theory for large sample estimators is described. Several approaches to the problem are presented, and, when possible, comparisons are made among the estimators obtained.
Publication Year: 1964
Publication Date: 1964-01-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 9
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