THE APPLICATION OF TIME SERIES ANALYSIS TO FISHERIES POPULATION ASSESSMENT AND MODELING

Stock Assessment: Quantitative Methods and Applications for Small-Scale Fisheries

Volumn , Issue , 2023, Pages 354-402

  Rothschild, Brian J ^a   Smith, Steven G ^a   Lp, Helen ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85162620643     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9781003421252-7     Document Type: Chapter

References (19)

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3. Box, G.E.P. and Tiao, G.C. 1973. Intervention analysis with applications to economic and environmental problems. Technical Report 335, Department of Statistics, University of Wisconsin, Madison.
4. Cryer, J.D. 1986. Time Series Analysis. Duxbury Press, Boston.
5. de Gooijer, J.G., Abraham, B., Gould, A. and Robinson, L. 1985. Methods for determining the order of an autoregressive-moving average process: a survey. International Statistics Review 53: 301-329.
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12. MacDonald, G.J. 1989. Spectral analysis of time series generated by nonlinear processes. Review of Geophysics 27; 449-469.
13. Mendelssohn, R. 1981. Using Box-Jenkins models to forecast fishery dynamics: identification, estimation, and checking. Fishery Bulletin, U.S. 78: 887-896.
14. Ricker, W.E. 1975. Computation and interpretation of biological statistics of fish populations. Bulletin of the Fisheries Research Board of Canada 191.
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17. Schaefer, M.B. 1957. A study of the dynamics of the fishery for yellowfin tuna in the eastern tropical Pacific Ocean. Bulletin of the Inter-American Tropical Tuna Commission 2: 245-285.
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19. Stergiou, K.I. 1989. Modeling and forecasting the fishery for pilchard (Sardina pilchardus) in Greek waters using ARIMA time-series models. Journal du Conseil, Conseil Permanent International pour !'Exploration da Ia Mer 46: 16-23.