Mixture of time-dependent growth models with an application to blue swimmer crab length-frequency data

Understanding how aquatic species grow is fundamental in fisheries because stock assessment often relies on growth dependent statistical models. Length-frequency-based methods become important when more applicable data for growth model estimation are either not available or very expensive. In this a...

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Veröffentlicht in:	Biometrics Jg. 72; H. 4; S. 1255 - 1265
Hauptverfasser:	Lloyd-Jones, Luke R., Nguyen, Hien D., McLachlan, Geoffrey J., Sumpton, Wayne, Wang, You-Gan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Blackwell Publishing Ltd 01.12.2016 Wiley-Blackwell
Schlagworte:	Algorithms Animals aquatic organisms BIOMETRIC METHODOLOGY biometry Blue swimmer crab Brachyura - growth & development Coastal environments coasts Computer simulation Crabs Crustaceans Data processing Decapoda Fisheries Fisheries - statistics & numerical data Growth model estimation Growth models Length-frequency data Marine Mathematical models Minorization-maximization algorithm Mixture modeling Models, Biological Models, Statistical Normal Distribution Optimization Parameter estimation Portunus Queensland Simulation Statistical analysis Statistical methods statistical models Stock assessment Test procedures Time dependence Time Factors variance ISEW, Australia, Queensland Queensland Minorization-maximization algorithm Blue swimmer crab Length-frequency data Mixture modeling Growth model estimation
ISSN:	0006-341X, 1541-0420, 1541-0420
Online-Zugang:	Volltext
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