1970
DOI: 10.21648/arthavij/1970/v12/i3/116542
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A Time-Dependent Distribution for the Number of Conceptions

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Cited by 6 publications
(3 citation statements)
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“…In formulating models for the number of births or the number of conceptions to a couple during a specified time, Perrin and Sheps (1964), Sheps and Perrin (1966), Singh (1963Singh ( , 1968), Singh and Bhattacharya (1970) and Pathak (1970) have assumed a constant duration for the "rest period" comprising the duration of pregnancy and post-partum amenorrhea. Srinivasan (1966), in his model for inter-live birth intervals, assumes the distribution of post-partum amenorrhea to be an asymmetrical triangle, while Yadava (1966) takes it to be a chi-square distribution.…”
Section: International Institute For Population Studies Bombay Indiamentioning
confidence: 99%
“…In formulating models for the number of births or the number of conceptions to a couple during a specified time, Perrin and Sheps (1964), Sheps and Perrin (1966), Singh (1963Singh ( , 1968), Singh and Bhattacharya (1970) and Pathak (1970) have assumed a constant duration for the "rest period" comprising the duration of pregnancy and post-partum amenorrhea. Srinivasan (1966), in his model for inter-live birth intervals, assumes the distribution of post-partum amenorrhea to be an asymmetrical triangle, while Yadava (1966) takes it to be a chi-square distribution.…”
Section: International Institute For Population Studies Bombay Indiamentioning
confidence: 99%
“…Singh (1963Singh ( , 1966 has also extended the models (Singh, 1963(Singh, , 1966 to describe distribution of complete conceptions for a heterogeneous group of couples and has assumed that fecundability (p) follows beta-distribution in discrete time model. Pathak (1966) introduced one more refinement in Singh's discrete time model. He assumed that a certain proportion of fecund women are not susceptible at the beginning of the period because either they are pregnant or are in the postpartum amenorrhoea.…”
Section: Introductionmentioning
confidence: 99%
“…The high levels of fertility, especially in the central region of India, are the major concern to the planners and policy makers. Therefore, analysis of birth spacing is of interest in this context since it can provide further insight into the mechanism underlying fertility change (Potter, 1963;Sheps, 1964;Pathak, 1966;Sehgal, 1971;Srinivasan, 1980;Njogu & Martin, 1991). Studies also revealed that birth spacing is preferred over other conventional measures of fertility because of its sensitiveness to small and short term changes in the reproduction rate (Singh, 1964;Sheps & Menken, 1972;Namboodiri, 1974;Namboodiri, 1983).…”
Section: Introductionmentioning
confidence: 99%