Journal article
Age-dependent branching processes and sampling frameworks for mortality and marital variables in nonstable populations
Mathematical biosciences, v 30(1)
1976
Abstract
During recent years there has been increasing recognition of the problem of understanding sampling frameworks when attempts are being made to estimate various probability distributions from fertility survey data. It is widely recognized that survey data are “selected” in certain ways, depending on how the sample is defined, andthe need arises to somehow accomodate “selection” in estimation procedures. The purpose ofthis paper is, accordingly, to develop sampling frames for studying several mortality and marital variables within the framework of generalized age-dependent branching processes. By studying mortality and marital variables within the framework of branching processes, it is possible to remove the restriction, underlying the work of Sheps and Menken (1972), that the population must be in a stable or stationary state.
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Details
- Title
- Age-dependent branching processes and sampling frameworks for mortality and marital variables in nonstable populations
- Creators
- Charles J. Mode - Drexel University
- Publication Details
- Mathematical biosciences, v 30(1)
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1976BW01400004
- Scopus ID
- 2-s2.0-0017128545
- Other Identifier
- 991019173914704721