Statistical inference in stationary populations

N. J.D. Nagelkerke

doi:10.2307/2533341

Statistical inference in stationary populations

N. J.D. Nagelkerke

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A fixed ensemble of alternating renewal processes is proposed as a model for stationary populations. This model is applied to explore the relationship between survival times and forward recurrence times. In addition, it is shown that ergodic theory can be applied to the model. An example is presented.

Original language	English
Pages (from-to)	347-350
Number of pages	4
Journal	Biometrics
Volume	51
Issue number	1
DOIs	https://doi.org/10.2307/2533341
Publication status	Published - 1995
Externally published	Yes

Keywords

Alternating renewal process
Epidemiology
Ergodicity
Forward recurrence time
Incidence
Stationary populations
Survival analysis

ASJC Scopus subject areas

Statistics and Probability
General Biochemistry,Genetics and Molecular Biology
General Immunology and Microbiology
General Agricultural and Biological Sciences
Applied Mathematics

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title = "Statistical inference in stationary populations",

abstract = "A fixed ensemble of alternating renewal processes is proposed as a model for stationary populations. This model is applied to explore the relationship between survival times and forward recurrence times. In addition, it is shown that ergodic theory can be applied to the model. An example is presented.",

keywords = "Alternating renewal process, Epidemiology, Ergodicity, Forward recurrence time, Incidence, Stationary populations, Survival analysis",

author = "Nagelkerke, {N. J.D.}",

year = "1995",

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KW - Alternating renewal process

KW - Epidemiology

KW - Ergodicity

KW - Forward recurrence time

KW - Incidence

KW - Stationary populations

KW - Survival analysis

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JO - Biometrics

JF - Biometrics

IS - 1

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Statistical inference in stationary populations

Abstract

Keywords

ASJC Scopus subject areas

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