Open AccessImprovement by Multi-Stage Selection in Non-Normal Large Populations
Author(s) -
M. Gopinath Rao,
L. S. Singh
Publication year - 2016
Publication title -
sri lankan journal of applied statistics
Language(s) - English
Resource type - Journals
ISSN - 2424-6271
DOI - 10.4038/sljastats.v16i3.7829
Subject(s) - scope (computer science) , publication , open access journal , medical journal , library science , selection (genetic algorithm) , scopus , statistics , political science , computer science , medline , mathematics , artificial intelligence , programming language , law
Multistage selection based on the covariates of the breeding value is studied in non-normal large populations. Expressions for expectation and variance of the target variable are given for retained sub population in the case of lognormal, skew normal and pareto distributions. Numerical illustration for optimum level of cullings for fixed overall intensity of selection is discussed. Sri Lankan Journal of Applied Statistics 2015;16(3): 149-159
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