Sensitivity Analysis: Matrix Methods in Demography and Ecology
This open access book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications to humans, other animals, and plants. The analyses are based on matrix formulations of age-classified, stage-classified, and multistate popu...
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham
Springer Nature
2019
Cham : 2019. |
| Edición: | 1st ed. 2019. |
| Colección: | Demographic Research Monographs, A Series of the Max Planck Institute for Demographic Research,
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009430275306719 |
Tabla de Contenidos:
- I Introductory and methodological: 1 Introduction. Sensitivity analysis: what and why?
- 2 Matrix calculus and notation
- II Linear models: 3 The sensitivity of population growth rate: three approaches
- 4 Sensitivity analysis of longevity and life disparity
- 5 Individual stochasticity and implicit age dependence
- 6 Age[1]stage-classified models
- III Time-varying and stochastic models: 7 Transient population dynamics
- 8 Periodic models
- 9 LTRE decomposition of the stochastic growth rate
- IV Nonlinear models: 10 Sensitivity analysis of nonlinear demographic models
- V Markov chains: 11 Sensitivity analysis of discrete Markov chains
- 12 Sensitivity analysis of continuous Markov chains.
