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  • 标题:Modelling the Distribution of Age at Last Conception of Females
  • 本地全文:下载
  • 作者:Shruti Verma ; Kaushalendra K. Singh
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2015
  • 卷号:13
  • 期号:3
  • 页码:495-508
  • 出版社:Tingmao Publish Company
  • 摘要:Social phenomena that are related to human beings cannot be performed under controlled conditions, making it difficult for policy planners to have an idea about the expected future conditions in the society under varying situations and forming policies. However, modelling can be really helpful to planners in these situations. The present paper attempts to find the distributions of age at last conception of women with the help of stochastic modelling for human fertility taking into consideration different parity progression behaviours among couples. This may be helpful to planners for having at least a rough idea of estimated proportion of women of different age groups who will be completing their childbearing and willing to go for sterilization after marriage under different stopping rules regarding desired family size and sex composition of children. Accordingly, these estimates will help planners to optimize the cost and service provision for sterilization programs for women.
  • 关键词:Modelling; conception; stopping rules; conception interval; rate of conception; contraceptive effectiveness.
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