On probabilities of large and moderate deviations for maximum likelihood estimates

Theorems on probabilities of large and moderate deviations for maximum likelihood estimates are proved and on less restrictive assumptions a “rough” asymptotics of large deviations is find in a regular case. Similar results are obtained in the case of observations in “white gaussian noise”.