An algorithm of continuous stage space MCMC method for solving algebra equation f(x) =0 is given.It is available for the case that the sign of f(x) changes frequently or the derivative f′(x) does not exist in the neighborhood o f the root,while the Newton method is hard to work.Let n be the number of random variables created by computer in our algorithm.Then after m=O(n) transactions from the initial value x 0,x * can be got such that |f(x *)|
A class of estimators of the mean survival time with interval censored data are studied by unbiased transformation method. The estimators are constructed based on the observations to ensure unbiasedness in the sense that the estimators in a certain class have the same expectation as the mean survival time. The estimators have good properties such as strong consistency （with the rate of O（n^-1/1 （log log n）^1/2）） and asymptotic normality. The application to linear regression is considered and the simulation reports are given.
