International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2018, Vol. 3, Issue 5, Part A

Predicting infant mortality in India using time series models


Author(s): Mritunjay Pal Singh and RD Singh

Abstract: Predicting infant mortality rate is an important aspect of study to prepare society and government for better or worst in future Many Programs might approach to fulfill the desired target in given time. In study an approach of time series models had used for prediction of infant mortality in India and some of its states. States had been selected by using the target sated in revised population policy 2017. In the study we found 13 states of India which does not have twenty eight per thousand infant mortality Rate in 2016 SRS data. We made our prediction using time series model named as Autoregressive Integrated Moving Average Method. This Chapter also compares these results to previous attempt to predict IMR Using ARIMA models.

Pages: 33-42 | Views: 363 | Downloads: 28

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How to cite this article:
Mritunjay Pal Singh and RD Singh. Predicting infant mortality in India using time series models. International Journal of Statistics and Applied Mathematics. 2018; 3(5): 33-42.
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