title: Use of Bayes theorem to correct size-specific sampling bias in growth data.
abstract: The bayesian decomposition of posterior distribution was used to develop a likelihood function to correct bias in the estimates of population parameters from data collected randomly with size-specific selectivity. Positive distributions with time as a parameter were used for parametrization of growth data. Numerical illustrations are provided. The alternative applications of the likelihood to estimate selectivity parameters are discussed.
authors: Marine and Freshwater Resources Institute, PO Box 114, Queenscliff, Victoria, Australia 3225.
authors: V S
authors: VS
authors: Troynikov
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D005260:Female; D006128:Growth; D016013:Likelihood Functions; D008297:Male; D008954:Models, Biological; D015983:Selection Bias; D012754:Sharks / Q000254:growth & development