Estimation and inference with censored and ordered multinomial response data

We propose a new formulation of the statistical model and the use of the maximum entropy principle for recovering information when the dependent variable is censored or ordered. This approach makes use of weak sampling assumptions and performs well over a range of non Gaussian error distributions and ill-posed and well-posed problems. Analytical and illustrative Monte Carlo sampling results are presented.