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001 978-3-030-10534-1
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020 _a9783030105341
_9978-3-030-10534-1
024 7 _a10.1007/978-3-030-10534-1
_2doi
050 4 _aHB848-3697
072 7 _aJHBD
_2bicssc
072 7 _aSOC006000
_2bisacsh
072 7 _aJHBD
_2thema
082 0 4 _a304.6
_223
100 1 _aCaswell, Hal.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_95138
245 1 0 _aSensitivity Analysis: Matrix Methods in Demography and Ecology
_h[electronic resource] /
_cby Hal Caswell.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXVIII, 299 p. 134 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aDemographic Research Monographs, A Series of the Max Planck Institute for Demographic Research,
_x1613-5520
505 0 _aI 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.
506 0 _aOpen Access
520 _aThis 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. .
650 0 _aDemography.
_91524
650 0 _aStatistics .
_9134
650 0 _aCommunity ecology, Biotic.
_92292
650 0 _aBiomathematics.
_91927
650 1 4 _aDemography.
_0https://scigraph.springernature.com/ontologies/product-market-codes/X25000
_91524
650 2 4 _aStatistics for Social Sciences, Humanities, Law.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17040
_9389
650 2 4 _aCommunity & Population Ecology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L19120
_92294
650 2 4 _aMathematical and Computational Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M31000
_92022
710 2 _aSpringerLink (Online service)
_9141
776 0 8 _iPrinted edition:
_z9783030105334
776 0 8 _iPrinted edition:
_z9783030105358
830 0 _aDemographic Research Monographs, A Series of the Max Planck Institute for Demographic Research,
_x1613-5520
_93860
856 4 0 _uhttps://doi.org/10.1007/978-3-030-10534-1
912 _aZDB-2-SLS
912 _aZDB-2-SXS
912 _aZDB-2-SOB
942 _cEBK
_w1
_xAdministrator Library
_y1
_z Administrator Library
999 _c1044
_d1044
773 _tSpringer Nature Open Access eBook