Premium
Prior elicitation for mixed quantile regression with an allometric model
Author(s) -
Alhamzawi Rahim,
Yu Keming,
Vinciotti Veronica,
Tucker Allan
Publication year - 2011
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.1118
Subject(s) - quantile , allometry , morone , quantile regression , bayesian probability , statistics , gibbs sampling , bass (fish) , computer science , econometrics , mathematics , fishery , ecology , biology
In this paper, we introduced methods for conducting Bayesian quantile analysis of an allometric model that included random effects, with the primary goal of estimating quantiles of the length‐weight relationship of fish data. We developed prior elicitation schemes to incorporate historical information into the analysis of current data. We proposed Gibbs sampler methods to facilitate Bayesian computation and provided detailed implementation schemes. We applied our methods to analyze data of walleye Sander vitreus and white bass Morone chrysops in Lake McConaughy, Nebraska. Copyright © 2011 John Wiley & Sons, Ltd.