Estimation of parameters in biological species with several mating and reproduction alternatives
Copyright © 2020 Elsevier Inc. All rights reserved..
With the purpose of modeling the demographic dynamics of biological species in which different mating and reproduction alternatives are feasible, in Molina et al. (2014) we introduced a new mathematical model based on discrete-time branching processes. Assuming that the reproduction phase is governed by probability distributions belonging to the power series family, some reproductive parameters for such species were estimated. In this work, in a more general statistical context, we generalize this research. By considering observations, until a given generation, of the number of female and male individuals in each generation, we now investigate several inferential questions about the parameters of biological interest included in the mathematical model. We study such questions using procedures based on Bayesian statistical methodology. We apply the proposed methods to describe the dynamics of salmonid species.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:329 |
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| Enthalten in: |
Mathematical biosciences - 329(2020) vom: 01. Nov., Seite 108471 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Molina, Manuel [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 17.06.2021 Date Revised 17.06.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.mbs.2020.108471 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 500 | |a Date Revised 17.06.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 Elsevier Inc. All rights reserved. | ||
| 520 | |a With the purpose of modeling the demographic dynamics of biological species in which different mating and reproduction alternatives are feasible, in Molina et al. (2014) we introduced a new mathematical model based on discrete-time branching processes. Assuming that the reproduction phase is governed by probability distributions belonging to the power series family, some reproductive parameters for such species were estimated. In this work, in a more general statistical context, we generalize this research. By considering observations, until a given generation, of the number of female and male individuals in each generation, we now investigate several inferential questions about the parameters of biological interest included in the mathematical model. We study such questions using procedures based on Bayesian statistical methodology. We apply the proposed methods to describe the dynamics of salmonid species | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Bayesian statistical methods | |
| 650 | 4 | |a Demographic dynamics of biological species | |
| 650 | 4 | |a Discrete-time branching processes | |
| 650 | 4 | |a Stochastic modeling | |
| 650 | 4 | |a Two-sex mathematical models | |
| 700 | 1 | |a Mota, Manuel |e verfasserin |4 aut | |
| 700 | 1 | |a Ramos, Alfonso |e verfasserin |4 aut | |
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