Human Fertility Behavior Through Birth Interval Models: Overview

Ajay Shankar Singh

doi:doi:10.11648/j.ajtas.20160503.18

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Human Fertility Behavior Through Birth Interval Models: Overview

Ajay Shankar Singh

Received: 18 March 2016 Accepted: 24 March 2016 Published: 17 May 2016

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Abstract

Fertility is one of the responsible factors for the growth of human population. The demographers have given priority to understanding of the determinants of fertility through statistical techniques. Analytical models are suitable and appropriate tools and are widely used for better understanding of the phenomenon of the human fertility behavior. In other words, these models are useful in describing the action and interaction among various factors as well as for predicting the change in fertility behavior. The analytic models play an important role in estimation and interpretation of the fertility behaviors. In this paper, discuss the of birth intervals model based on realistic assumptions of human reproductive process, indirectly incorporating socio-cultural, bio-demographic factors, taboos and also use of contraceptive practices. In these derived models to describe the variation in the length of closed, forward, straddling and open birth interval with the realistic assumption that all the females are not exposed to the risk of conception immediately after the termination of post-partum amenorrhea (PPA) due to some factors or contraceptive practices. In these models, fecundability (λ) has been considered to be constant over the study period. The duration of time from the point of termination of PPA to the state of exposure has been taken as random variable which follows exponential distribution. The maximum likelihood estimation technique has been used for the estimation of parameter (λ) through different derived models.

DOI	10.11648/j.ajtas.20160503.18
Published in	American Journal of Theoretical and Applied Statistics (Volume 5, Issue 3, May 2016)
Page(s)	132-137
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Fecundability, Birth Interval, Post Partum Amenorrhea (PPA), Foetal Wastage, Contraceptive Practices

References

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[10]	Singh, S. N., R. C. Yadav, R. C. and Pandey, A., On a generalized distribution of open birth interval regardless of parity, Journal of Scientific Research, BHU, India, 1979.
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[12]	Singh, S. N., Yadav, R. C. and Chakrabarty, K. C., A parity dependent model for open birth interval, Sankhya, 44 (2), 212, 1982.
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APA Style

Ajay Shankar Singh. (2016). Human Fertility Behavior Through Birth Interval Models: Overview. American Journal of Theoretical and Applied Statistics, 5(3), 132-137. https://doi.org/10.11648/j.ajtas.20160503.18

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Ajay Shankar Singh. Human Fertility Behavior Through Birth Interval Models: Overview. Am. J. Theor. Appl. Stat. 2016, 5(3), 132-137. doi: 10.11648/j.ajtas.20160503.18

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AMA Style

Ajay Shankar Singh. Human Fertility Behavior Through Birth Interval Models: Overview. Am J Theor Appl Stat. 2016;5(3):132-137. doi: 10.11648/j.ajtas.20160503.18

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@article{10.11648/j.ajtas.20160503.18,
  author = {Ajay Shankar Singh},
  title = {Human Fertility Behavior Through Birth Interval Models: Overview},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {5},
  number = {3},
  pages = {132-137},
  doi = {10.11648/j.ajtas.20160503.18},
  url = {https://doi.org/10.11648/j.ajtas.20160503.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20160503.18},
  abstract = {Fertility is one of the responsible factors for the growth of human population. The demographers have given priority to understanding of the determinants of fertility through statistical techniques. Analytical models are suitable and appropriate tools and are widely used for better understanding of the phenomenon of the human fertility behavior. In other words, these models are useful in describing the action and interaction among various factors as well as for predicting the change in fertility behavior. The analytic models play an important role in estimation and interpretation of the fertility behaviors. In this paper, discuss the of birth intervals model based on realistic assumptions of human reproductive process, indirectly incorporating socio-cultural, bio-demographic factors, taboos and also use of contraceptive practices. In these derived models to describe the variation in the length of closed, forward, straddling and open birth interval with the realistic assumption that all the females are not exposed to the risk of conception immediately after the termination of post-partum amenorrhea (PPA) due to some factors or contraceptive practices. In these models, fecundability (λ) has been considered to be constant over the study period. The duration of time from the point of termination of PPA to the state of exposure has been taken as random variable which follows exponential distribution. The maximum likelihood estimation technique has been used for the estimation of parameter (λ) through different derived models.},
 year = {2016}
}

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TY  - JOUR
T1  - Human Fertility Behavior Through Birth Interval Models: Overview
AU  - Ajay Shankar Singh
Y1  - 2016/05/17
PY  - 2016
N1  - https://doi.org/10.11648/j.ajtas.20160503.18
DO  - 10.11648/j.ajtas.20160503.18
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 132
EP  - 137
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20160503.18
AB  - Fertility is one of the responsible factors for the growth of human population. The demographers have given priority to understanding of the determinants of fertility through statistical techniques. Analytical models are suitable and appropriate tools and are widely used for better understanding of the phenomenon of the human fertility behavior. In other words, these models are useful in describing the action and interaction among various factors as well as for predicting the change in fertility behavior. The analytic models play an important role in estimation and interpretation of the fertility behaviors. In this paper, discuss the of birth intervals model based on realistic assumptions of human reproductive process, indirectly incorporating socio-cultural, bio-demographic factors, taboos and also use of contraceptive practices. In these derived models to describe the variation in the length of closed, forward, straddling and open birth interval with the realistic assumption that all the females are not exposed to the risk of conception immediately after the termination of post-partum amenorrhea (PPA) due to some factors or contraceptive practices. In these models, fecundability (λ) has been considered to be constant over the study period. The duration of time from the point of termination of PPA to the state of exposure has been taken as random variable which follows exponential distribution. The maximum likelihood estimation technique has been used for the estimation of parameter (λ) through different derived models.
VL  - 5
IS  - 3
ER  -

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Author Information

Ajay Shankar Singh

Department of Agricultural Economics and Management, University of Swaziland, Luyengo, Swaziland

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Plain Text BibTeX RIS

APA Style

Ajay Shankar Singh. (2016). Human Fertility Behavior Through Birth Interval Models: Overview. American Journal of Theoretical and Applied Statistics, 5(3), 132-137. https://doi.org/10.11648/j.ajtas.20160503.18

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ACS Style

Ajay Shankar Singh. Human Fertility Behavior Through Birth Interval Models: Overview. Am. J. Theor. Appl. Stat. 2016, 5(3), 132-137. doi: 10.11648/j.ajtas.20160503.18

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AMA Style

Ajay Shankar Singh. Human Fertility Behavior Through Birth Interval Models: Overview. Am J Theor Appl Stat. 2016;5(3):132-137. doi: 10.11648/j.ajtas.20160503.18

Copy | Download

@article{10.11648/j.ajtas.20160503.18,
  author = {Ajay Shankar Singh},
  title = {Human Fertility Behavior Through Birth Interval Models: Overview},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {5},
  number = {3},
  pages = {132-137},
  doi = {10.11648/j.ajtas.20160503.18},
  url = {https://doi.org/10.11648/j.ajtas.20160503.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20160503.18},
  abstract = {Fertility is one of the responsible factors for the growth of human population. The demographers have given priority to understanding of the determinants of fertility through statistical techniques. Analytical models are suitable and appropriate tools and are widely used for better understanding of the phenomenon of the human fertility behavior. In other words, these models are useful in describing the action and interaction among various factors as well as for predicting the change in fertility behavior. The analytic models play an important role in estimation and interpretation of the fertility behaviors. In this paper, discuss the of birth intervals model based on realistic assumptions of human reproductive process, indirectly incorporating socio-cultural, bio-demographic factors, taboos and also use of contraceptive practices. In these derived models to describe the variation in the length of closed, forward, straddling and open birth interval with the realistic assumption that all the females are not exposed to the risk of conception immediately after the termination of post-partum amenorrhea (PPA) due to some factors or contraceptive practices. In these models, fecundability (λ) has been considered to be constant over the study period. The duration of time from the point of termination of PPA to the state of exposure has been taken as random variable which follows exponential distribution. The maximum likelihood estimation technique has been used for the estimation of parameter (λ) through different derived models.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Human Fertility Behavior Through Birth Interval Models: Overview
AU  - Ajay Shankar Singh
Y1  - 2016/05/17
PY  - 2016
N1  - https://doi.org/10.11648/j.ajtas.20160503.18
DO  - 10.11648/j.ajtas.20160503.18
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 132
EP  - 137
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20160503.18
AB  - Fertility is one of the responsible factors for the growth of human population. The demographers have given priority to understanding of the determinants of fertility through statistical techniques. Analytical models are suitable and appropriate tools and are widely used for better understanding of the phenomenon of the human fertility behavior. In other words, these models are useful in describing the action and interaction among various factors as well as for predicting the change in fertility behavior. The analytic models play an important role in estimation and interpretation of the fertility behaviors. In this paper, discuss the of birth intervals model based on realistic assumptions of human reproductive process, indirectly incorporating socio-cultural, bio-demographic factors, taboos and also use of contraceptive practices. In these derived models to describe the variation in the length of closed, forward, straddling and open birth interval with the realistic assumption that all the females are not exposed to the risk of conception immediately after the termination of post-partum amenorrhea (PPA) due to some factors or contraceptive practices. In these models, fecundability (λ) has been considered to be constant over the study period. The duration of time from the point of termination of PPA to the state of exposure has been taken as random variable which follows exponential distribution. The maximum likelihood estimation technique has been used for the estimation of parameter (λ) through different derived models.
VL  - 5
IS  - 3
ER  -

Copy | Download