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Körner, R. (1992). Die Helme im Jahr 1979 und ihre Fische. Veröff. Spengler-Museum-Sangerhausen, 6, 47?51.
Schlüsselwörter: Fisch, Vorkommen, regional
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Kovacek-Mann. (1992). Vergleichende populationsdynamische Untersuchungen von Barbe (Barbus barbus, L. 1758) und Rußnase (Vimba vimba, L. 1758) im Donaustauraum Altenwörth und der angrenzenden Fließstrecke in der Wachau unter besonderer Berücksichtigung der Ernährungsbiologie. Doctoral thesis, Universität Wien, Wien.
Schlüsselwörter: Fisch, Barbe, Rußnase, Nahrung, Ernährung, Biologie
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Riehl, R., & Patzner, R. (1992). Die Eier heimischer Fische: 3. Hecht – Esoc lucius L., 1758 (Vol. 4).
Schlüsselwörter: Fisch, Ei, Hecht, Esox lucius, Fortpflanzung
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Rydlo, M. (1992). Parasitische Helminthen in Aalrutten (Lota lota L.) aus Seen und Fließgewässern Österreichs (Vol. 94/95).
Schlüsselwörter: Fisch, Parasit, Quappe, Trüsche, Lota lota
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Dehus, P. (1992). Bestandsgröße und Nahrungsbeziehungen von Cypriniden und Barschen in kleinen, eutrophen Seen (Vol. 55).
Schlüsselwörter: Fisch, Perca fluviatilis, Rutilus rutilus, Abramis brama, Nahrung, Wachstum, Alter
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Akamine, T., & Matsumiya, Y. (1992). Mathematical analysis of age-length key method for estimating age composition from length composition.
Zusammenfassung: In mathematics, the age-length key method is an estimating method for the ratio of each distribution in a mixture of distributions. Although the maximum likelihood method is the principle of this estimation, this model is a nonlinear model with a restrictive condition. At first, Hasselblad solved this model by using a new iteration method with a computer. Although his method was regarded as the steepest descent method or EM algorithm, it is proved to be an application of Lagrange's indeterminate multiplier method to the iteration method. Nowadays, there are other useful algorithms of optimization, especially Marquardt's method, for this estimation.
Schlüsselwörter: Fisch, statistik, normalverteilung, lÄngenfrequenz, theorie, methode
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Akamine, T., Kishino, H., & Hiramatsu, K. (1992). Non-biased interval estimation of Leslie's removal method.
Zusammenfassung: Leslie's removal method, which is used to estimate the initial population size and the removal ratio simultaneously, is modeled in terms of the product of binomial distributions. The approximation of these binomial distributions to the standard normal distribution presents a new method which has no bias for estimators. This is an improvement over the maximum likelihood method and the likelihood ratio test, and is essentially equivalent to a standard goodness-of-fit test. The confidence region on the 2-dimensional plane defined by the initial population size and the removal ratio gives each confidence interval. This region is defined by the chi-square distribution with 2 degrees of freedom.
Schlüsselwörter: Fisch, statistik, modell, binominal, population, basic, listing
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Wirbeleit, F. (1992). Diskrete Annäherung – Approximation mit neuronalen Netzen.
Schlüsselwörter: normalverteilung, theorie, algorithmus, listing, pascal, neuronales_netz
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Fühner, C. (1992). Wurzelbehandlung – Funktionskompiler im Eigenbau.
Schlüsselwörter: Mathematik, turbo-pascal, listing, tool
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Brors, D. (1992). Portable C-Funktionen.
Schlüsselwörter: Turbo-c, c, dokumentation, portierung, tips
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