Can India Achieve SDGs target related to IMR level till 2030? : A Bayesian Study

Abhinav Singh¹ , Anurag Verma² , Gyan Prakash Singh³ , Pramendra Singh Pundir⁴

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.6 , pp.47-52, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i6.4752

Online published on Dec 31, 2018

Copyright © Abhinav Singh, Anurag Verma, Gyan Prakash Singh, Pramendra Singh Pundir . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
India is playing an important role in shaping sustainable development in the world. In this article, is an attempt to explore, the Bayesian inference with the application of projection for future levels of Infant Mortality Rates (IMR) for India, through the Markov chain Monte Carlo simulation technique, using a nonlinear growth model. The main aim of the study is to examine the preparation of India to evaluate its progress towards Sustainable Development Goals (SDGs) target related to IMR under Bayesian Approach. The findings of this study show that India is not in a position to achieve the IMR target in the SDGs.

Key-Words / Index Term :
IMR, MCMC, Bayesian Approach, SDGs, Probability, OpenBUGS

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