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Eggebrecht, W., & Manhart, K. (1991). Fatale Logik.
Schlüsselwörter: Simulation, spiele, theorie, turbo-pascal, listing
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Schmid, W. (1998). Coregonus lavaretus ova predation by newly introduced ruffe (Gymnocephalus cernuus L.) in Lake Constance, Germany (Vol. 50).
Schlüsselwörter: Gymnocephalus, Wachstum, Coregonus, Nahrung
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(1983). Vergleich zweier Regressionskoeffizienten.
Schlüsselwörter: Statistik, methode, listing, basic
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(1984). Multiple Regression.
Schlüsselwörter: Statistik, methode, listing, basic
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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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Akamine, T. (1985). Consideration of the BASIC Programs to Analyse the Polymodal Frequency Distribution into Normal Distribution (Vol. 35).
Schlüsselwörter: Maximum-likeli, poly-verteilung, normalverteilung, marquardt, statistik, basic, listing, theorie, algorithmus
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Barry, J. P., & Tegner, M. J. (1989). Inferring Demographic Processes from Size-Frequency Distribution: Simple Models Indicate Patterns of Growth and Mortality (Vol. 88).
Schlüsselwörter: Wachstum, statistik, methode, theorie
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Akamine, T. (1988). Evaluation of Error Caused by Histogram on Estimation of Parameters for a Mixture of Normal Distributions.
Zusammenfassung: When histograms are used instead of raw data to estimate parameters by the maximum likelihood method, data has an error distributed according to a regular distribution among the width of the histogram. This influence on the estimation of parameters is evaluated by the linearized error propagation rule. Covariance is in proportion to the width squared and in inverse proportion to the number of data. Even if the number of data is large, the precision is low for small normal distributions. In practice, an adequate width will be given by the shapes of the histograms.
Schlüsselwörter: Normalverteilung, basic, listing, methode, algorithmus, poly-verteilung
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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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Yamagishi, H., & Ishioka, K. (1991). Silumation Study on the Growth Variation of Fish with Special Reference to the Mortality by Cannibalism.
Zusammenfassung: In respect to the higher initial mortality in fish by cannibalism, computer simulation of individual growth variation was made in terms of coefficient of variation(CV) and skewness(sk) of frequency distribution. CV of the cannibalistic groups changed similarly to the control groups, but converged on smaller values than the asymptotic CV of the control groups. Sk of the cannibalistic groups finally converged on similar values to those of the control groups after irregular changes in positive values except N-N correspondent type.
Schlüsselwörter: Wachstum, mortalitÄt, simulation, methode, theorie, statistik
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