On testing hypotheses with doubly censored data
Methods of testing simple hypotheses about lifetime parameters from doubly censored data are given on the basis of the maximum likelihood principle. It is shown that under the assumptions of standard type, the asymptotic distribution of proposed statistics is chi-square or linear combination of chi-square distributions. The choice of statistics optimal from the point of view of power is discussed and illustrated by several examples.
data maximum likelihood statistics cybernetics computer simulation