REGRESSION MODELS GENERATED BY DISTRIBUTIONS OF MODERATE GROWTH

Abstract

Regression model generated by two-parametric distribution of moderate growth and arising in bioinformatics is considered. Consistency (in a weak sense) of least square estimates for parameters is proved. Distributions of least square estimates for parameters and of Gaussian noise variation estimate are obtained. Results may be used for statistical hypothesis testing with regard to parameters of model.