|
This article is cited in 1 scientific paper (total in 1 paper)
On solutions to the equation for improving additives in regression problems
Yu. Yu. Linkeab, A. I. Sakhanenkoa a Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
In this article, we consider the problem of finding a solution to a functional equation which in a special way depends on the distribution of a random variable. Such equations naturally arise in construction of consistent estimates in regression problems in the case when the variances of the main observations depend on underlying unknown parameter and the regression coefficients are determined with random errors. A simple example of a regression problem is demonstrated when the equation under consideration occurs.
Key words:
functional equation, regression, errors in independent variables, dependence of variances on parameter, two-step estimation.
Received: 01.07.2011
Citation:
Yu. Yu. Linke, A. I. Sakhanenko, “On solutions to the equation for improving additives in regression problems”, Mat. Tr., 14:2 (2011), 127–146; Siberian Adv. Math., 22:4 (2012), 261–274
Linking options:
https://www.mathnet.ru/eng/mt218 https://www.mathnet.ru/eng/mt/v14/i2/p127
|
Statistics & downloads: |
Abstract page: | 460 | Full-text PDF : | 131 | References: | 93 | First page: | 4 |
|