Time Series Analysis of Catch‐At‐Age Observations

Gudmundur Gudmundsson

Journal of the Royal Statistical Society Series C, 1994, vol. 43, issue 1, 117-126

Abstract: Catches, stocks and fishing mortality rates are connected by given non‐linear relationships. Multivariate time series models of fishing mortality rates are proposed and linear approximations to the Kalman filter algorithm are used to estimate the unobserved series of stocks and fishing mortality rates from observed series of catches at each age. The model parameters are estimated by the likelihood function of the catch prediction errors. Time series estimation does not require fishing effort measurements as well as the catch‐at‐age data, but it is also possible to include auxiliary information. Estimates of stocks and fishing mortality rates with acceptable accuracy can be obtained from exceptionally short series. They are not unduly sensitive to misspecifications and inaccurate estimation of model parameters.

Date: 1994
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2307/2986116

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:43:y:1994:i:1:p:117-126

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().