A heteroscedasticity regression analysis method for censored data is presented

and it extends the traditional regression analysis

which is only suitable to complete and homoscedasticity data

to censored and heteroscedastic data.The heteroscedasticity regression equation is established and the best linear unbiased estimators for the regression parameters

the standard deviation and their covariance are also given.The linear heteroscedasticity regression analysis methods for normal distribution

extreme distribution and Weibull distribution are discussed in detail and the confidence limits of the regression curve and percentiles are given.At present

heteroscedastic data can only be analyzed by group test method that requires large sample.Compared with traditional method

the present method can reach higher precision and a great number of specimens can be saved.