The paper deals with estimating shift point which occurs in any sequences of independent observations x_1, x_2, ..., x_m, x_(m+1), ..., x_n of poisson and geometric distributions. This shift point occurs in the sequence when x_m i. e. m life data are observed. With known shift point 'm', the Bayes estimator on befor and after shift process means θ_1 and θ_2 are derived for symmetric and assymetric loss functions. The sensitivity analysis of Bayes estimators are carried out by simulation and numerical comparisons with R-programming. The results show the effectiveness of shift in sequences of both poisson and geometric distributions.
展开▼
