Using the EM algorithm to weight data sets of unknown precision when modelling fish stocks-Reference-Cited by-同舟云学术

Using the EM algorithm to weight data sets of unknown precision when modelling fish stocks

Published:2004-07 Issue:1 Volume:190 Page:1-7
ISSN:0025-5564
Container-title:Mathematical Biosciences
language:en
Short-container-title:Mathematical Biosciences

Author:

Cotter A.J.R,Buckland S.T

Publisher

Elsevier BV

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine,Statistics and Probability

Reference9 articles.

1. Improving Fish Stock Assessments;Committee on Fish Stock Assessment Methods, National Research Council,1998

2. Quantitative Fish Dynamics;Quinn,1999

3. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. Roy. Stat. Soc., Ser. B,1977

4. Modelling variance heterogeneity: residual maximum likelihood and diagnostics;Verbyla;J. Roy. Stat. Soc., Ser. B,1977

5. Transformation and Weighting in Regression (Monographs on Statistics and Applied Probability);Carroll,1988

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