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Nemec, A. F. L., & Brinkhurst, R. O. (1988). Using the Bootstrap to Assess Statistical Significance in the Cluster Analysis of Species Abundance Data (Vol. 45).
Schlüsselwörter: Fischerei, statistik, cluster, methode, modell
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Ricker, W. E. (1992). Back-Calculation of Fish Lengths Based on Proportionality between Scale and Length Increments (Vol. 49).
Schlüsselwörter: Fischerei, statistik, methode, wachstum
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Thompson, K. R., & Page, F. H. (1989). Detecting Synchrony of Recruitment using Short, Autocorrelated Time Series (Vol. 46).
Schlüsselwörter: Fischerei, statistik, methode, zeitreihe
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Schweigert, J. F. (1991). Multivariate Description of Pacipic Herring (clupea Harengus p.) Stocks from Size and Age Information (Vol. 48).
Schlüsselwörter: Fischerei, statistik, multivariat, genetik, morphologie, methode
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Jensen, A. L. (1986). Functional Regression and Correlation Analysis (Vol. 43).
Schlüsselwörter: Fischerei, statistik, regression, modell
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Arnason, A. N., Papst, M. H., & Hopky, G. E. (1992). Modelling the Increase in Variance of Fish Weight (Vol. 49).
Schlüsselwörter: Fischerei, statistik, wachstum, modell
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Taggart, C. T., & Leggett, W. C. (1987). Wind-Forced Hydrodynamics and Their Interaction with Larval Fish and Plankton Abundance: A Time-Series Analysis of Physical-Biological Data (Vol. 44).
Schlüsselwörter: Fischerei, statistik, zeitreihe, methode, modell
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Caputi, N. (1988). Factors affecting the time series bias in stock-recruitment relationships and the interaction between time series and measurement error bias (Vol. 45).
Zusammenfassung: The stock-recruitment relationship (SRR) and the recruitment to spawning stock relationship (RSR) of the tiger prawn (Penaeus esculentus ) in Exmouth Gulf, Western Australia, were used to examine the time series bias and measurement error bias by Monte Carlo simulations. Simulating the effect of measurement error as well as the random variation about the SRR and RSR helps to determine the possible combinations of measurement error and random variation which may result in the observed variation about the SRR and RSR. The simulations also indicate that there is an interaction between measurement error and random variation about the SRR/RSR on the bias of the parameters of the SRR.
Schlüsselwörter: Fischerei, statistik, zeitreihe, methode, modell, theorie
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Chen, Y., Jackson, D. A., & Harvey, H. H. (1992). A comparison of von Bertalanffy and polynomial functions in modelling fish growth data (Vol. 49).
Zusammenfassung: We compared the von Bertalanffy growth function (VBGF) and five polynormial functions (PF) in modelling fish growth for 16 populations comprising six species of freshwater fishes. Ranked results of the variance explained by each growth function indicated that VBGF described growth data better than three- and four-parameter polynomial functions. Log-transforming length and age greatly improved the goodness-of-fit of the three-parameter polynomial function. Statistical comparison of growth between populations or sexes was done using a general linear model for polynomial functions. The VBGF proved to be the best growth model for all 16 populations.
Schlüsselwörter: Fischerei, wachstum, methode, theorie, modell, statistik
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Eckmann, R., Gaedke, U., & Wetzlar, H. J. (1988). Effects of Climatic and Density-Dependent Factors on Year-Class Strength of Coregonus lavaretus in Lake Constance (Vol. 45).
Zusammenfassung: The influences of density-dependent and density-independent factors on year-class strength (YCS) of Corogonus lavaretus in Lake Constance were studied by multiple linear regression analyses for the period from 1962 to 1982. Meteorological conditions that lead to early thermal stratification of the lake in April are of prime importance for YCS and account for 41% of the total YCS variance. Zooplankton concentration during spring has no significant influence on YCS. The extensive stocking program on the lake (50-200 million larvae stocked per year) significantly supports YCS, but this relationship becomes apparent only after the influence of meteorological conditions are removed from the data.
Schlüsselwörter: Fischerei, zeitreihe, modell, statistik
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