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This article is cited in 4 scientific papers (total in 4 papers)
Probability theory and mathematical statistics
The existence of explicit asymptotically normal estimators of an unknown parameter in a logarithmic regression problem
A. A. Kalenchuka, A. I. Sakhanenkoba a Novosibirsk State University, Pirogova str., 2, 630090, Novosibirsk, Russia
b Sobolev Institute of Mathematics, pr. Koptyuga, 4, 630090, Novosibirsk, Russia
Abstract:
We construct and investigate a class of explicit estimators for the unknown parameter in a logarithmic regression problem. We present general conditions for these estimators to be asymptotically normal. It is the fourth class of non-linear regression problems for which such explicit estimators are found.
Keywords:
logarithmic regression, difficulties in the least squares method, explicit estimators of the parameters, asymptotically normal estimators.
Received October 25, 2015, published December 1, 2015
Citation:
A. A. Kalenchuk, A. I. Sakhanenko, “The existence of explicit asymptotically normal estimators of an unknown parameter in a logarithmic regression problem”, Sib. Èlektron. Mat. Izv., 12 (2015), 874–883
Linking options:
https://www.mathnet.ru/eng/semr637 https://www.mathnet.ru/eng/semr/v12/p874
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Abstract page: | 268 | Full-text PDF : | 65 | References: | 40 |
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