Analysis of seasonal growth through the application of a multiple linear regression model on data from tag-and-recapture experiments | Zendy

Costas Stamatopoulos | Zendy; J.F. Caddy | Zendy

Open Access

Analysis of seasonal growth through the application of a multiple linear regression model on data from tag-and-recapture experiments

Author(s) -

Costas Stamatopoulos,

J.F. Caddy

Publication year - 2010

Publication title -

mediterranean marine science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.734

H-Index - 38

eISSN - 1791-6763

pISSN - 1108-393X

DOI - 10.12681/mms.97

Subject(s) - seasonality , mark and recapture , statistics , variation (astronomy) , linear regression , econometrics , environmental science , mathematics , computer science , demography , physics , population , sociology , astrophysics

When the Brody coefficient K is subject to temporal variation, data from tag-and-recapture experiments permit analysis of seasonal growth. Temporal values for K can be estimated without using a pre-determined oscillating function and the impact of seasonality on annual growth can be analyzed more realistically. The method is applicable to intra-annual intervals of single or multiple cohorts.

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