International Journal of Statistics and Applied Mathematics
2018, Vol. 3, Issue 5, Part A
Predicting infant mortality in India using time series modelsAuthor(s):
Mritunjay Pal Singh and RD SinghAbstract:
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: 798 | Downloads: 28Download Full Article: Click Here
How to cite this article:
Mritunjay Pal Singh, RD Singh. Predicting infant mortality in India using time series models. Int J Stat Appl Math 2018;3(5):33-42.