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Mittnik, S. (1990). Computation of Theoretical Autocovariance Matrices of Multivariate Autoregressive Moving Average Time Series (Vol. 52).
Schlüsselwörter: Mathematik, zeitreihe, modell, theorie, statistik
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Bagliniére, E., & Ombredane, D. (1990). Choix et fibilité d'un modéle de rétrocalcul des tailles en écologie halieutique, mise au point d'un logiciel informatique (Vol. 319).
Schlüsselwörter: Fischerei, population, modell, statistik, Grundlage
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Dégerine, S. (1990). Canonical Partial Autocorrelation Function of a Multivariate Time Series (Vol. 18).
Schlüsselwörter: Zeitreihe, mathematik, theorie, trend, statistik
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Hilge, V. (1990). Beobachtungen zur Aufzucht von Zandern (Stizostedion lucioperca L.) im Labor (Vol. 40).
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Kainz, E., & Gollmann, H. P. (1990). Beiträge zur Verbreitung einiger Kleinfischarten in österreichischen Fliessgewässern. Teil 4: Schneider (Alburnoides bipunctatus) (Vol. 1990).
Schlüsselwörter: Fisch, Schneider, Alburnoides bipunctatus
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Francis, R. I. C. C. (1990). Back-calculation of fish length: A critical review (Vol. 36).
Zusammenfassung: A review is made of the literature on the back-calculation of fish body length from marks on scales or other hard parts (otoliths, vertebrae, fin rays, etc.). Though the technique is widely used it does not appear to be well understood. Regression methods are commonly used, apparently in ignorance of the more realistic proportional methods. It is not generally recognized that there are two equally plausible back-calculation hypotheses which can lead to significantly different back-calculated lengths. The Fraser-Lee equation, the most commonly used back-calculated formula, follows neither of these hypotheses but is based on a misuse of linear regression. It is recommended that back-calculation be restricted to procedures following one of the proportional hypotheses; that the difference between lengths calculated using the two hypotheses is a useful measure of the minimum uncertainty in back-calculation lengths; and that more attention be paid to validating back-calculation hypotheses by comparing observed and back-calculated lengths for individual fish. The pattern of heteroscedasticity in body length-scale radius plots is noted as a useful diagnostic in evaluating back-calculation hypothesis.
Schlüsselwörter: Fisch, Statistik, Regression, Längen..., Review, Wachstum
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Troschel, H. J., & Wetzlar, H. J. (1990). Auswirkungen von elektrischen Fischfanggeräten auf Flußkrebse (Vol. 2).
Schlüsselwörter: Krebs, Elektrofischerei, Schaden, Schädigung
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Barandun, J. (1990). Auswirkungen von Ausbreitungsbarrieren auf das Vorkommen von Groppen (Cottus gobio) – Anregungen für den Artenschutz (Vol. 65).
Schlüsselwörter: Fisch, Wanderung, Barriere, Groppe, Cottus gobio
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Akamine, T. (1990). An interval estimation of Leslie's method in removal methods.
Zusammenfassung: Leslie's method in removal methods is modeled into the joint of the binomial distributions. An interval estimation of p (removal ratio) and n (initial population size) based on the null hypothesis for p and n is easily obtained by the approximation of each binomial distribution to the normal distribution. The confidence region on the (p, n) plane is easily obtained by micro-computers. The maximum likelihood method for a point estimation and the convenient method on the curves of partial maximum likelihood for an interval estimation are also presented.
Schlüsselwörter: Fisch, statistik, binominal, population, basic, listing, modell, methode
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Millar, R. B. (1990). A versatile computer program for mixed stock fishery composition estimation. Department of Fisheries and Oceans, St. John's, Nfld. (Canada).
Zusammenfassung: This technical report describes a FORTRAN program (HISEA.FOR) to be used in the study of mixed stock fishery composition estimation. Program HISEA is a versatile research tool capable of performing analyses. The simplest use of HISEA is to perform a composition analysis. The program can then be run in bootstrap mode to provide a non-parametric estimate of the reliability of the estimated compositions. In simulation mode, HISEA can quantify the effect of changing sample sizes; of adding or removing variables; and of adding or removing stocks. Simulation also identifies potential problems (such as high bias and variance in the composition estimators) that may arise due to different stocks being too alike.
Schlüsselwörter: check-lists; approximation-; computer-programmes; stock-assessment
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