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Predictive densities and selection with genetic applications
Author(s) -
Tallis G. M.
Publication year - 1986
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3315185
Subject(s) - selection (genetic algorithm) , covariate , sampling (signal processing) , set (abstract data type) , sample (material) , computer science , statistics , mathematics , machine learning , physics , filter (signal processing) , computer vision , programming language , thermodynamics
A set of p populations is subjected to a first sampling. From this, it is required to select one of the populations so that the mean of a future sample is maximized. Extensions to this problem are discussed and solved by the use of predictive densities. These results are finally adapted to populations with covariate structure under systems of balanced sampling. Applications to quantitative genetics are indicated.