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Cloern, J. E., & Nichols, F. H. (1978). A von Bertalanffy Growth Model with a Seasonally Varying Coefficient (Vol. 35).
Schlüsselwörter: Wachstum, modell, theorie, fisch, statistik
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Moreau, J., & Moreau, I. (1987). Fitting of von Bertalanffy growth function (VBGF) with two growth checks per year (Vol. 3).
Schlüsselwörter: Wachstum, methode, fisch, statistik, theorie, listing, basic
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Smith, P. J., & Sedransk, J. (1982). Bayesian Optimization of the Estimation of the Age Composition of a Fish Population (Vol. 77).
Schlüsselwörter: Alter, methode, modell, theorie, population, statistik, fisch
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Jinn, J. H., Sedransk, J., & Smith, P. (1987). Optimal Two-Phase Stratified Sampling for Estimation of the Age Composition of a Fish Population (Vol. 43).
Schlüsselwörter: Population, alter, wachstum, methode, modell, mathematik, statistik, fisch
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Allen, K. R. (1966). A Method of Fitting Growth Curves of the von Bertalanffy Type to Observed Data (Vol. 23).
Schlüsselwörter: Wachstum, theorie, methode, mathematik, statistik, modell, fisch
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Schnute, J. (1987). A General Fishery Model for a Size-Struktured Fish Population (Vol. 44).
Schlüsselwörter: LÄngenfrequenz, population, methode, theorie, mathematik, statistik, fisch
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Gerdeaux, D. (1987). (Review of methods of estimating population size based on removal data computer program of size estimation with the Carle and Strub method).
Zusammenfassung: The paper describes methods of estimating population size based on survey removal data. The Zippin maximum likelihood model is presented with the possibility with microcomputer. The Carle and Strub method is considered most convenient and a microcomputer program is published.
Schlüsselwörter: Population, statistik, methode, listing, basic, vergleich, modell, fisch
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Cowx, L. G. (1983). Review of the Methods for Estimating Fish Population Size from Survey Removal Data.
Schlüsselwörter: Population, methode, modell, statistik, vergleich, fisch
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Carle, F. L., & Strub, M. R. (1978). A New Method for Estimating Population Size from Removal Data (Vol. 34).
Schlüsselwörter: Population, methode, modell, statistik, mathematik, fisch
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Wood, C. C., McKinnell, S., Mulligan, T. J., & Fournier, D. A. (1987). Stock Identification with the Maximum-Likelihood Mixture Model: Sensitivity Analysis and Application to Complex Problems (Vol. 44).
Schlüsselwörter: Simulation, fischerei, methode, mathematik, statistik, modell, theorie, fisch
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