Stochastic virtual population analysis
| Autor: | Sakari Kuikka, M. Virtala, Elja Arjas |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
0106 biological sciences
Estimation education.field_of_study Ecology 010604 marine biology & hydrobiology Population Markov chain Monte Carlo Aquatic Science Oceanography 01 natural sciences Set (abstract data type) Hybrid Monte Carlo 010104 statistics & probability symbols.namesake Virtual population analysis Age groups Statistics Econometrics symbols 14. Life underwater Point estimation 0101 mathematics education Ecology Evolution Behavior and Systematics Mathematics |
| Zdroj: | ICES Journal of Marine Science. 55:892-904 |
| ISSN: | 1054-3139 |
| DOI: | 10.1006/jmsc.1998.0368 |
| Popis: | The Metropolis-Hastings algorithm was applied to a standard Virtual Population Analysis using a simulated data set containing catch data from 10 age groups over a 10-year period. Posterior distributions of fishing mortalities and population sizes are studied under different prior assumptions. The results demonstrate the usefulness of obtaining distributions of plausible parameter values instead of point estimates. Computational aspects of the algorithm are also discussed, as well as the estimation of the natural mortality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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