Sensitivity Analysis: Matrix Methods in Demography and Ecology / by Hal Caswell.

Format:

Book

Author/Creator:

Caswell, Hal, Author.

Series:

Demographic Research Monographs, A Series of the Max Planck Institute for Demographic Research, 2197-9286

Language:

English

Subjects (All):

Demography.

Population.

Social sciences--Statistical methods.

Social sciences.

Biotic communities.

Population biology.

Biomathematics.

Population and Demography.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Community and Population Ecology.

Mathematical and Computational Biology.

Local Subjects:

Population and Demography.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Community and Population Ecology.

Mathematical and Computational Biology.

Physical Description:

1 online resource (XVIII, 299 p. 134 illus.)

Edition:

1st ed. 2019.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

Language Note:

English

Summary:

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 population models. Methods are presented for linear and nonlinear, deterministic and stochastic, and time-invariant and time-varying cases. Readers will discover results on the sensitivity of statistics of longevity, life disparity, occupancy times, the net reproductive rate, and statistics of Markov chain models in demography. They will also see applications of sensitivity analysis to population growth rates, stable population structures, reproductive value, equilibria under immigration and nonlinearity, and population cycles. Individual stochasticity is a theme throughout, with a focus that goes beyond expected values to include variances in demographic outcomes. The calculations are easily and accurately implemented in matrix-oriented programming languages such as Matlab or R. Sensitivity analysis will help readers create models to predict the effect of future changes, to evaluate policy effects, and to identify possible evolutionary responses to the environment. Complete with many examples of the application, the book will be of interest to researchers and graduate students in human demography and population biology. The material will also appeal to those in mathematical biology and applied mathematics. .

Contents:

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.

ISBN:

3-030-10534-2

OCLC:

45678227