Roth, H., & Geiger, W. (1963). Experimentelle Untersuchungen über das Verhalten der Bachforellenbrut in der Laichgrube (Vol. XXV).
Schlüsselwörter: Bachforelle, Salmo trutta fario, Larve, Verhalten, Fisch
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Solewski, W. (1961). Die Bachforelle (Salmo trutta m. fario L.) des Wisla-Flussgebietes (Vol. 3).
Schlüsselwörter: Bachforelle, Salmo trutta fario, Wachstum, Biometrie, Meristik, Fisch
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Solewski, W. (1960). Bachforelle (Salmo trutta m. fario L.) des Flussgebietes der Sola (Vol. 2).
Schlüsselwörter: Bachforelle, Salmo trutta fario, Wachstum, Biometrie, Meristik, Fortpflanzung, Fisch
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Starmach, J. (1956). Über Fortpflanzung und Entwicklung der Bartgrundel (Nemachilus barbatulus L.) während der Embryonal- und Larvalperiode (Vol. 8).
Schlüsselwörter: Bachschmerle, Noemacheilus barbatulus, Fortpflanzung, Ontogenie, Entwicklung, Fisch, Ei
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Prawitt, O. (1999). Zur Säuretoleranz von Fischen in Tagebauseen der Lausitz (Vol. 1).
Schlüsselwörter: Baggersee, See, Fisch, Gewässerbelastung
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Zauner, G. (1998). Der Semling – eine verschollene Art wurde wiederentdeckt (Vol. 51).
Schlüsselwörter: Barbus, Fisch, Verbreitung, Vorkommen
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Akamine, T. (1989). An interval estimation for the Petersen method using Bayesian statistics.
Zusammenfassung: The statistical model for the Petersen method is a hypergeometric distribution. Approximation to a binomial distribution has been used, and the usual method for this binomial model is based on approximation to a normal distribution. The Bayesian statistical model for a binomial distribution, which assumes that the prior distribution of parameters is uniform, corresponds well with the conventional method. However, the Bayesian statistical method for a hypergeometric distribution which assumes the uniform prior distribution is not feasible. The prior distribution according to the inverse squared parameter is natural for this model. Beta function and zeta function are important to understand these methods. This model is simpler to understand and easier to calculate by micro-computer than the conventional method.
Schlüsselwörter: Bayesian, binominal, basic, listing, methode, theorie, algorithmus
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Akamine, T. (1989). An interval estimation for extraction using Bayesian statistics.
Zusammenfassung: The statistical model for extraction is a binomial distribution. The conventional method for employing this binomial model is based on approximation to a normal distribution. The Bayesian statistical method, which assumes that the prior distribution of parameters is uniform, is preferable to the conventional method, and two theorems demonstrate that this model corresponds well with the conventional method. Furthermore, this model is simpler to understand and easier to calculate by micro-computer than the conventional method.
Schlüsselwörter: Bayesian, normalverteilung, binominal, statistik, theorie, algorithmus, listing, basic
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Filuk, J. (1961). Nachkriegsstudien über Biologie und Fang des Zanders des Frischen Haffs (Vol. 10 NF).
Schlüsselwörter: Bestandeskunde
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Kosler, A. (1959). Biometrische Untersuchungen an Schleien des Brackwassers (Vol. 8 NF).
Schlüsselwörter: Bestandeskunde
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