Models of Probability Processes of Distortion of Digital Media

In this work the new multivariate discrete probability models of distribution of processes distortion of digital media is proposed and studied. Research was performed on a full cycle adopted in mathematical statistics namely the models were constructed and investigated various methods for estimating the parameters was proposed and test the hypothesis that the models adequacy observations was considered. For these models a new class of unbiased estimators which have good asymptotic properties obtained. Found that the maximum likelihood estimator for this model is not always possible to find. Also for this model impossible to construct estimates for the modified method of minimum chi-square. The proposed models are new and it was not described in the world literature previously.