Projection of Sex Ratio at Birth in U.P. India using MCMC Technique in Bayesian Procedure
Abstract
In the present paper we have projected Sex Ratio at Birth in Uttar Pradesh using Linear regression model, assuming lower and upper limit from the past estimates of Fraction Of Female at Birth from the available Sample Registration System data available from 1999 to 2009. Parameters of the model have been estimated using MCMC (Monte Carlo Markov Chain) Technique in Bayesian Procedure. We have assumed Non-informative prior distribution to implement the Bayesian approach for the parameter estimation.
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