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Statistical Challenges of The Sustainable Development in Iraq

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@article{IJASEIT13282,
   author = {Jassim N. Hussain},
   title = {Statistical Challenges of The Sustainable Development in Iraq},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {5},
   year = {2020},
   pages = {2014--2020},
   keywords = {poisson regression; influential risk factors; nonparametric poisson regression; statistical challenges; sustainable development.},
   abstract = {Many challenges on the road to sustainable development face Iraq. Data limitations cause massive constraints on sustainable development goals checking because about 70% of indicators are missing in Iraq. Statistical indicators are considered as the basis of sustainable development in each country. The healthy population was the third goal of sustainable goals because the healthy population produces a high level of sustainable development. Consequently, fertility is an important indicator of a healthy population because it is one of the three principal components of population dynamics that increases the size of any country's population. The important indicator of fertility is the number of newborns for the married women. Therefore, the problem of this research is about 70% of sustainable development goals indicators currently are missing in Iraq, especially inferential indicators including modelling of the association between the phenomena and their risk factors. Then the goal of this research is to build a model to represent the association between the fertility and its risk factors to provide an inferential indicator about this phenomenon to identify the most influential risk factors. Several risk factors are facing the pregnancy before childbirth, but what are the most influential risk factors cause it? The count regression models are a statistical technique may be used to express the association between the number of fertility and its risk factors. A simple random sample was drawn with size (200) consists of the mothers who visit the primary health care centres in Babylon province-Iraq in year 2018. Biological, behavioural and lifestyle factors are recorded. The results of applying Poisson regression model show that the data was overdispersion, with nonlinear function and with number of outliers. Therefore, the nonparametric Poisson model was used as an alternative model to this data. The results of applying this model show that the most influential risk factors are five linear risk factors in addition to three nonparametric smoothing factors.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13282},
   doi = {10.18517/ijaseit.10.5.13282}
}

EndNote

%A Hussain, Jassim N.
%D 2020
%T Statistical Challenges of The Sustainable Development in Iraq
%B 2020
%9 poisson regression; influential risk factors; nonparametric poisson regression; statistical challenges; sustainable development.
%! Statistical Challenges of The Sustainable Development in Iraq
%K poisson regression; influential risk factors; nonparametric poisson regression; statistical challenges; sustainable development.
%X Many challenges on the road to sustainable development face Iraq. Data limitations cause massive constraints on sustainable development goals checking because about 70% of indicators are missing in Iraq. Statistical indicators are considered as the basis of sustainable development in each country. The healthy population was the third goal of sustainable goals because the healthy population produces a high level of sustainable development. Consequently, fertility is an important indicator of a healthy population because it is one of the three principal components of population dynamics that increases the size of any country's population. The important indicator of fertility is the number of newborns for the married women. Therefore, the problem of this research is about 70% of sustainable development goals indicators currently are missing in Iraq, especially inferential indicators including modelling of the association between the phenomena and their risk factors. Then the goal of this research is to build a model to represent the association between the fertility and its risk factors to provide an inferential indicator about this phenomenon to identify the most influential risk factors. Several risk factors are facing the pregnancy before childbirth, but what are the most influential risk factors cause it? The count regression models are a statistical technique may be used to express the association between the number of fertility and its risk factors. A simple random sample was drawn with size (200) consists of the mothers who visit the primary health care centres in Babylon province-Iraq in year 2018. Biological, behavioural and lifestyle factors are recorded. The results of applying Poisson regression model show that the data was overdispersion, with nonlinear function and with number of outliers. Therefore, the nonparametric Poisson model was used as an alternative model to this data. The results of applying this model show that the most influential risk factors are five linear risk factors in addition to three nonparametric smoothing factors.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13282
%R doi:10.18517/ijaseit.10.5.13282
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 5
%@ 2088-5334

IEEE

Jassim N. Hussain,"Statistical Challenges of The Sustainable Development in Iraq," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 5, pp. 2014-2020, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.5.13282.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Hussain, Jassim N.
PY  - 2020
TI  - Statistical Challenges of The Sustainable Development in Iraq
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 5
Y2  - 2020
SP  - 2014
EP  - 2020
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - poisson regression; influential risk factors; nonparametric poisson regression; statistical challenges; sustainable development.
N2  - Many challenges on the road to sustainable development face Iraq. Data limitations cause massive constraints on sustainable development goals checking because about 70% of indicators are missing in Iraq. Statistical indicators are considered as the basis of sustainable development in each country. The healthy population was the third goal of sustainable goals because the healthy population produces a high level of sustainable development. Consequently, fertility is an important indicator of a healthy population because it is one of the three principal components of population dynamics that increases the size of any country's population. The important indicator of fertility is the number of newborns for the married women. Therefore, the problem of this research is about 70% of sustainable development goals indicators currently are missing in Iraq, especially inferential indicators including modelling of the association between the phenomena and their risk factors. Then the goal of this research is to build a model to represent the association between the fertility and its risk factors to provide an inferential indicator about this phenomenon to identify the most influential risk factors. Several risk factors are facing the pregnancy before childbirth, but what are the most influential risk factors cause it? The count regression models are a statistical technique may be used to express the association between the number of fertility and its risk factors. A simple random sample was drawn with size (200) consists of the mothers who visit the primary health care centres in Babylon province-Iraq in year 2018. Biological, behavioural and lifestyle factors are recorded. The results of applying Poisson regression model show that the data was overdispersion, with nonlinear function and with number of outliers. Therefore, the nonparametric Poisson model was used as an alternative model to this data. The results of applying this model show that the most influential risk factors are five linear risk factors in addition to three nonparametric smoothing factors.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13282
DO  - 10.18517/ijaseit.10.5.13282

RefWorks

RT Journal Article
ID 13282
A1 Hussain, Jassim N.
T1 Statistical Challenges of The Sustainable Development in Iraq
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 5
YR 2020
SP 2014
OP 2020
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 poisson regression; influential risk factors; nonparametric poisson regression; statistical challenges; sustainable development.
AB Many challenges on the road to sustainable development face Iraq. Data limitations cause massive constraints on sustainable development goals checking because about 70% of indicators are missing in Iraq. Statistical indicators are considered as the basis of sustainable development in each country. The healthy population was the third goal of sustainable goals because the healthy population produces a high level of sustainable development. Consequently, fertility is an important indicator of a healthy population because it is one of the three principal components of population dynamics that increases the size of any country's population. The important indicator of fertility is the number of newborns for the married women. Therefore, the problem of this research is about 70% of sustainable development goals indicators currently are missing in Iraq, especially inferential indicators including modelling of the association between the phenomena and their risk factors. Then the goal of this research is to build a model to represent the association between the fertility and its risk factors to provide an inferential indicator about this phenomenon to identify the most influential risk factors. Several risk factors are facing the pregnancy before childbirth, but what are the most influential risk factors cause it? The count regression models are a statistical technique may be used to express the association between the number of fertility and its risk factors. A simple random sample was drawn with size (200) consists of the mothers who visit the primary health care centres in Babylon province-Iraq in year 2018. Biological, behavioural and lifestyle factors are recorded. The results of applying Poisson regression model show that the data was overdispersion, with nonlinear function and with number of outliers. Therefore, the nonparametric Poisson model was used as an alternative model to this data. The results of applying this model show that the most influential risk factors are five linear risk factors in addition to three nonparametric smoothing factors.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13282
DO  - 10.18517/ijaseit.10.5.13282