Development of Some Selected Stochastic Models of Human Fertility in India: The Untold Stories

IF 1.8 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
Ram Chandra Yadava
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引用次数: 1

Abstract

Modeling of any phenomenon requires the knowledge of the subject and the mathematical skill that is required to express the phenomenon in the form of mathematical relationship(s). In the process of model building, the researcher(s) experience several failures and learnings before getting the final model. While large number of final models are developed and published, learnings of model development are seldom documented. Hence, there is a need to bring such articles which could present the learning of model development. Under this premise, the author which has experience of developing stochastic models of human reproduction aims, in this article, to narrate those learnings which he had encountered in the development of large number of models. Since detailed descriptions of those models are already available in publications, the article would skips detail derivations of those models but to provide learnings of the development of the models.

印度人类生育的一些随机模型的发展:不为人知的故事
任何现象的建模都需要学科知识和以数学关系的形式表达现象所需的数学技能。在模型构建的过程中,研究者在得到最终模型之前经历了多次失败和学习。当大量的最终模型被开发和发布时,模型开发的学习很少被记录下来。因此,有必要带来这样的文章,可以展示模型开发的学习。在此前提下,具有开发人类生殖随机模型经验的作者,在本文中,旨在叙述他在开发大量模型中所遇到的经验教训。由于这些模型的详细描述已经在出版物中可用,本文将跳过这些模型的详细衍生,而是提供模型开发的学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of the Indian Institute of Science
Journal of the Indian Institute of Science MULTIDISCIPLINARY SCIENCES-
CiteScore
4.30
自引率
0.00%
发文量
75
期刊介绍: Started in 1914 as the second scientific journal to be published from India, the Journal of the Indian Institute of Science became a multidisciplinary reviews journal covering all disciplines of science, engineering and technology in 2007. Since then each issue is devoted to a specific topic of contemporary research interest and guest-edited by eminent researchers. Authors selected by the Guest Editor(s) and/or the Editorial Board are invited to submit their review articles; each issue is expected to serve as a state-of-the-art review of a topic from multiple viewpoints.
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