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Wang, Y. G., & Thomas, M. R. (1995). Accounting for individual variability in the von Bertalanffy growth model (Vol. 52).
Zusammenfassung: Estimation of von Bertalanffy growth parameters has received considerable attention in fisheries research. Since Sainsbury much of this research effort has centered on accounting for individual variability in the growth parameters. In this paper we demonstrate that, in analysis of tagging data, Sainsbury's method and its derivatives do not, in general, satisfactorily account for individual variability in growth, leading to inconsistent parameter estimates (the bias does not tend to zero as sample size increases to infinity). The bias arises because these methods do not use appropriate conditional expectations as a basis for estimation.
Schlüsselwörter: Fisch, Statistik, Methode, Vergleich, Wachstum, Bertalanffy, Faben
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Paller, M. H. (1995). Interreplicate Variance and Statistical Power of Electrofishing Data from Low-Gradient Streams in the Southeastern United States (Vol. 15).
Schlüsselwörter: fischerei, statistik, CPUE, methode, elektrofischerei, modell
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Paller, M. H. (1995). Relationships among Number of Fisch Species Sampled, Reach Length Surveyed, and Sampling Effort in South Carolina Coastal Plain Streams (Vol. 15).
Schlüsselwörter: fischerei, Statistik, population, artenzusammensetzung, methode, modell, vergleich, elektrofischerei
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Raymond, M., & Rousset, F. (1995). An exact test for population Differentiation (Vol. 49).
Schlüsselwörter: population, Modell, mathematik, algorithmus, artendifferenzierung, Statistik
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Apfelböck, H. (1995). Schneller mit 32 bit.
Schlüsselwörter: Windows, Tips, Grundlagen
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-db. (1995). Alles Wichtige über das Internet.
Schlüsselwörter: Internet, Grundlagen
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-db. (1995). Alles Wichtige über Gateways.
Schlüsselwörter: x.400, dfü, Netzwerk, Grundlagen
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Schmidt, S. (1995). Das andere Excel: Experimente im Spreadsheet.
Schlüsselwörter: Excel, Tips, Mathematik
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Gilmour, A. R., Thompson, R., & Cullis, B. R. (1995). Average Information REML: An Efficient Algorithm for Variance Parameter Estimation in Linear Mixed Models (Vol. 51).
Schlüsselwörter: maximum-likeli, statistik, modell, zeitreihe, mathematik
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Magnusson, K. G. (1995). An overview of the multispecies VPA -- theory and applications (Vol. 5).
Zusammenfassung: Multispecies virtual population analysis is an attempt to take species interactions into account when assessing the status of fish stocks. It was introduced primarily with the aim of lowering the uncertainty in the natural mortality rate as used in single species VPA and to take account of variability between years and ages by calculating inside the model the part of the mortality rate caused by predation. The output of the MSVPA is therefore – in addition to stock sizes and fishing mortality rates as in single species VPA and intraspecific – and possible species replacement are not considered and neither is predation on larvae and prerecruits. The potential relevance of multispecies models lies in long-term forecasts since short-term forecasts from multi- and single species models differ only slightly. In making long-term forecasts, predicting recruitment is of fundamental importance and the value of MSVPA in throwing light on the processes governing recruitment is limited. MSVPA is concerned primarily with calculating postrecruitment mortalities, and although in principle there is nothing to prevent prerecruitment predation mortalities being calculated, such estimates are not likely to be reliable or useful. Predation on the larval stages can be of major importance in determining recruitment but is not addressed in the MSVPA. Thus, it is quite possible that processes which are not dealt with in the MSVPA are much more important in determining the future of the fisheries. In view of all this uncertainty, it is inevitable that it will be questioned whether multispecies management advice is superior to single species advice.
Schlüsselwörter: vpa, statistik, modell, vergleich, fischerei
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