Using a multivariate auto-regressive state-space (MARSS) model to evaluate fishery resources abundance in the East China Sea, based on spatial distributional information

Title
Using a multivariate auto-regressive state-space (MARSS) model to evaluate fishery resources abundance in the East China Sea, based on spatial distributional information
Authors
Keywords
Abundance index, CPUE, East China Sea, Kalman filter, MARSS, Missing value, State space model, Time series analysis
Journal
FISHERIES SCIENCE
Volume 83, Issue 4, Pages 499-513
Publisher
Springer Nature
Online
2017-05-17
DOI
10.1007/s12562-017-1089-x

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