Geodesic
Regression models generated by distributions of moderate growth
Proceedings of the Yerevan State University. Physical and mathematical sciences, no. 1 (2010), pp. 27-31.

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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.
Keywords: consistent least square estimate, regression model, distribution of moderate growth. 
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Kh. L. Vardanyan. Regression models generated by distributions of moderate growth. Proceedings of the Yerevan State University. Physical and mathematical sciences, no. 1 (2010), pp. 27-31. http://geodesic.mathdoc.fr/item/UZERU_2010_1_a4/

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