Simulation Study on Polya Posterior Approach to Finite Population Sampling
Sun Jiea · Tongji yu xinxi luntan · 2013
Polya posteriori method is a non-informative Bayesian estimation method.It was used in finite population by constructing a series of completed simulated copies of the entire population based on observed sample unites.Then we can make statistical inference.In this paper,some of the features of the Polya sampling method was studied by statistical simulation,In addition,we compare Bootstrap method and Polya posteriori method.The simulation results show: Polya posteriori method can estimate the population mean very well,as the sample size increases,the difference between the estimated value and the true value is getting smaller and smaller.Interval length of confidence intervals constructed using Polya posteriori method is shorter compared with the Bootstrap method.Moreover,the confident interval can cover the truth well.