Using the EM algorithm to weight data sets of unknown precision when modelling fish stocks
From MaRDI portal
Publication:1876215
DOI10.1016/J.MBS.2004.03.001zbMath1048.92031OpenAlexW2077050253WikidataQ30936113 ScholiaQ30936113MaRDI QIDQ1876215
Stephen T. Buckland, A. J. R. Cotter
Publication date: 16 August 2004
Published in: Mathematical Biosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mbs.2004.03.001
Iteratively weighted least squaresDegrees of freedomFish stock assessment modelsGeneralised least squares
Estimation in multivariate analysis (62H12) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76) Ecology (92D40)
Cites Work
This page was built for publication: Using the EM algorithm to weight data sets of unknown precision when modelling fish stocks