全球智库信息集成服务系统(G2TT): Mortality and aging in a heterogeneous population: A stochastic process model with observed and unobserved variables.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/0040-5809(85)90008-5
	Mortality and aging in a heterogeneous population: A stochastic process model with observed and unobserved variables.
	Yashin AL; Manton KG; Vaupel JW
发表日期	1985
出处	Theoretical Population Biology 27 (2): 154-175
出版年	1985
语种	英语
摘要	Various multivariate stochastic process models have been developed to represent human physiological aging and mortality. These efforts are extended by considering the effects of observed and unobserved state variables on the age trajectory of physiological parameters. This is done by deriving the Kolmogorov-Fokker-Planck equations describing the distribution of the unobserved state variables conditional on the history of the observed state variables. Given some assumptions, it is proved that the distribution is Gaussian. Strategies for estimating the parameters of the distribution are suggested based on an extension of the theory of Kalman filters to include systematic mortality selection. Various empirical applications of the model to studies of human aging and mortality as well as to other types of “failure” processes in heterogeneous populations are discussed.
主题	World Population (POP)
URL	http://pure.iiasa.ac.at/id/eprint/12519/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/126905
推荐引用方式 GB/T 7714	Yashin AL,Manton KG,Vaupel JW. Mortality and aging in a heterogeneous population: A stochastic process model with observed and unobserved variables.. 1985.