Geostatistics Analysis of Infant Mortality Rate in Ethiopia

Montasir Ahmed Osman Mohamed

doi:doi:10.11648/j.ajtas.20170604.17

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Geostatistics Analysis of Infant Mortality Rate in Ethiopia

Montasir Ahmed Osman Mohamed

Published in American Journal of Theoretical and Applied Statistics (Volume 6, Issue 4)

Received: 17 May 2017 Accepted: 24 May 2017 Published: 10 July 2017

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Abstract

In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.

Published in	American Journal of Theoretical and Applied Statistics (Volume 6, Issue 4)
DOI	10.11648/j.ajtas.20170604.17
Page(s)	209-213
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

Spatial Statistics, Infant Mortality, Generalized Models, Mixed Models, Moran’s I

References

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Montasir Ahmed Osman Mohamed. (2017). Geostatistics Analysis of Infant Mortality Rate in Ethiopia. American Journal of Theoretical and Applied Statistics, 6(4), 209-213. https://doi.org/10.11648/j.ajtas.20170604.17

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ACS Style

Montasir Ahmed Osman Mohamed. Geostatistics Analysis of Infant Mortality Rate in Ethiopia. Am. J. Theor. Appl. Stat. 2017, 6(4), 209-213. doi: 10.11648/j.ajtas.20170604.17

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AMA Style

Montasir Ahmed Osman Mohamed. Geostatistics Analysis of Infant Mortality Rate in Ethiopia. Am J Theor Appl Stat. 2017;6(4):209-213. doi: 10.11648/j.ajtas.20170604.17

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@article{10.11648/j.ajtas.20170604.17,
  author = {Montasir Ahmed Osman Mohamed},
  title = {Geostatistics Analysis of Infant Mortality Rate in Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {6},
  number = {4},
  pages = {209-213},
  doi = {10.11648/j.ajtas.20170604.17},
  url = {https://doi.org/10.11648/j.ajtas.20170604.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20170604.17},
  abstract = {In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.},
 year = {2017}
}

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TY  - JOUR
T1  - Geostatistics Analysis of Infant Mortality Rate in Ethiopia
AU  - Montasir Ahmed Osman Mohamed
Y1  - 2017/07/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtas.20170604.17
DO  - 10.11648/j.ajtas.20170604.17
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  - 209
EP  - 213
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20170604.17
AB  - In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.
VL  - 6
IS  - 4
ER  -

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Author Information

Montasir Ahmed Osman Mohamed

Scientific Research and Development Center, Nawroz University, Kurdistan Region, Iraq

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Montasir Ahmed Osman Mohamed. (2017). Geostatistics Analysis of Infant Mortality Rate in Ethiopia. American Journal of Theoretical and Applied Statistics, 6(4), 209-213. https://doi.org/10.11648/j.ajtas.20170604.17

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ACS Style

Montasir Ahmed Osman Mohamed. Geostatistics Analysis of Infant Mortality Rate in Ethiopia. Am. J. Theor. Appl. Stat. 2017, 6(4), 209-213. doi: 10.11648/j.ajtas.20170604.17

Copy | Download

AMA Style

Montasir Ahmed Osman Mohamed. Geostatistics Analysis of Infant Mortality Rate in Ethiopia. Am J Theor Appl Stat. 2017;6(4):209-213. doi: 10.11648/j.ajtas.20170604.17

Copy | Download

@article{10.11648/j.ajtas.20170604.17,
  author = {Montasir Ahmed Osman Mohamed},
  title = {Geostatistics Analysis of Infant Mortality Rate in Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {6},
  number = {4},
  pages = {209-213},
  doi = {10.11648/j.ajtas.20170604.17},
  url = {https://doi.org/10.11648/j.ajtas.20170604.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20170604.17},
  abstract = {In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Geostatistics Analysis of Infant Mortality Rate in Ethiopia
AU  - Montasir Ahmed Osman Mohamed
Y1  - 2017/07/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtas.20170604.17
DO  - 10.11648/j.ajtas.20170604.17
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  - 209
EP  - 213
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20170604.17
AB  - In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.
VL  - 6
IS  - 4
ER  -

Copy | Download