The paper is concerned with an application of the information inequali
ty for the Bayes risk (global Cramer-Rao inequality) to nonexponential
estimation problems. A new methodology of proving minimaxity is prese
nted by considering the example of estimating the scale or location pa
rameter under one-sided truncation of the parameter space.