Sawyer, R. (1981). Pollen Identification for Beekeepers.
Schlüsselwörter: Pollen, Grundlage, morphologie, bestimmung
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Pollen.
Schlüsselwörter: Pollen, morphologie, methode, bestimmung
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Fesel, U. Sapro-Plus 3.0.
Schlüsselwörter: Saprobie, dokumentation
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Hoffmann, A., Dressel, J., Frick, H., & Nieling, T. (1993). Fischartenkataster im Kreis Herford (Vol. 25).
Schlüsselwörter: Artenkataster, dokumentation
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Loos-Frank, B., Kiimig, P., & Lucius, R. Merkblatt zur Biologie, Verbreitung und Diagnose des Kleinen Fuchsbandwurmes Echinococcus multilocularis in Mitteleuropa.
Schlüsselwörter: Parasit, morphologie, anatomie, Grundlage, humanmedizin
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Misra, R. K. (1987). A Program to Compare Statistically the Generalized von Bertalanffy Growth Curves and their Parameters (Vol. 1439).
Schlüsselwörter: Wachstum, fisch, statistik, modell, fortran, listing
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Terceiro, M., Fournier, D. A., & Sibert, J. R. (1992). Comparative Performance of MULTIFAN and Shepherd_s Length Composition Analysis (SRLCA) on Simulated Length-Frequency Distributions (Vol. 121).
Zusammenfassung: The authors simulated length-frequency distributions for 3-, 7-, and 13-age-class exploited populations (Peprilus triacanthus, Gadus morhua, Paralichthys dentatus, Pomatomus saltatrix ) to compare the performance of Shepherd's length composition analysis (SRLCA) and MULTIFAN in resolving the distributions to age frequencies. The length distributions were characterized by von Bertalanffy growth, variable recruitment, variable mortality, partial selectivity of fishing gear for the youngest age-groups, and a length-dependent trend in the standard deviation in length at age. Comparative performance of SRLCA and MULTIFAN was assessed quantitatively by using the Kolmogorov-Smirnov cumulative distribution test to compare calculated proportions at age with the simulated values. Shepherd's analysis provided a good return for the amount of computational resources invested, with limited subjective user input. In contrast, MULTIFAN offered a much more complex but powerful estimation technique, and performed consistently better than SRLCA in matching the simulated proportions at age.
Schlüsselwörter: Statistik, modell, lÄngenfrequenz, wachstum
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Zippin, C. (1958). The Removal Method of Population Estimation (Vol. 22).
Schlüsselwörter: Fisch, statistik, population, modell, methode
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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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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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