Hüskes, R. (1995). Tool-Almanach – VBX- und OCX-Module im Überblick.
Schlüsselwörter: vbx, vergleich, ocx, delphi, c++, software
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Schmitt, H. - J. (1995). Buchprüfung der Datenbankiers – Der Stand der Dinge bei PC-SQL-Servern.
Schlüsselwörter: SQL, Vergleich, Software, Datenbank
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(1995). Wie Email sich bewegt.
Schlüsselwörter: Grundlage, e-mail, internet
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Raymond, M., & Rousset, F. (1995). An exact test for population Differentiation (Vol. 49).
Schlüsselwörter: population, Modell, mathematik, algorithmus, artendifferenzierung, Statistik
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Myers, R. A., & Cadigan, N. G. (1995). Statistical analysis of catch-at-age data with correlated errors (Vol. 52).
Zusammenfassung: The statistical model used is extended to estimate abundance from commercial catch-at-age data for many of the major commercial fish species in the world. The model combines commercial catch-at-age data and research survey estimates of fish abundance; extends the model to allow correlated errors among ages within a year for the survey estimates of fish abundance. Method is formulated for modeling the fishing mortality on the oldest ages of the fish caught. Estimates are obtained using maximum likelihood. The level of correlation among ages is sufficiently large to produce large biases in the standard methods for some stocks. The statistical model that includes correlated errors greatly reduces bias and increases efficiency if the correlation in the estimation error is large.
Schlüsselwörter: Fisch, Fischerei, Statistik, Wachstum, Mortalität, VPA, Population, Mathematik, Modell
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Gaumert, T. (1995). Fischfauna der Elbe von der Quelle bis zur Mündung: Aktuelle Befunde im Vergleich zu alten Daten.
Schlüsselwörter: Fisch, Historisch, Elbe
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Jennerich, H. - J., Jansen, W., Schildhauer, B., & Schulz, S. (1995). Die Fischerei in Mecklenburg-Vorpommern (Vol. 1995).
Schlüsselwörter: Fisch, Fischerei
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Walters, C. (1995). Estimation of historical stock sizes and recruitment anomalies from relative abundance time series (Vol. 52).
Zusammenfassung: Often only simple relative abundance time series and basic growth and (or) survival estimates are available for assessing impacts of fishing and environmental factors. Assessment then involves fitting production models to the series, while forcing the model with observed catch or effort series. A key uncertainty in this approach is how to deal with recruitment variations due to factors other than stock size. A dynamic programming algorithm can be used to compute maximum likelihood estimates of the recruitment anomaly sequence, given prior knowledge of growth parameters, the natural survival rate, and proportion of the variation in the relative abundance index that is due to abundance measurement errors.
Schlüsselwörter: stock-assessment; approximation-; anomalies-; recruitment-; abundance-; growth-; survival-; algorithms-; fishery-management; marine-fisheries
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Wang, Y. G., & Thomas, M. R. (1995). Accounting for individual variability in the von Bertalanffy growth model (Vol. 52).
Zusammenfassung: Estimation of von Bertalanffy growth parameters has received considerable attention in fisheries research. Since Sainsbury much of this research effort has centered on accounting for individual variability in the growth parameters. In this paper we demonstrate that, in analysis of tagging data, Sainsbury's method and its derivatives do not, in general, satisfactorily account for individual variability in growth, leading to inconsistent parameter estimates (the bias does not tend to zero as sample size increases to infinity). The bias arises because these methods do not use appropriate conditional expectations as a basis for estimation.
Schlüsselwörter: Fisch, Statistik, Methode, Vergleich, Wachstum, Bertalanffy, Faben
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Debus, L. (1995). Zur Systematik der Störe (Vol. 1995).
Schlüsselwörter: Fisch, Acipenseridae, Systematik, Beschreibung, Bestimmung
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