Finite-sample and asymptotic sign-based tests for parameters of non-linear quantile regression with Markov noise / M. A. Sirenko, P. F. Tarasenko, M. I. Pushkarev
Уровень набора: (RuTPU)RU\TPU\network\3526, Journal of Physics: Conference SeriesЯзык: английский.Резюме или реферат: One of the most noticeable features of sign-based statistical procedures is an opportunity to build an exact test for simple hypothesis testing of parameters in a regression model. In this article, we expanded a sing-based approach to the nonlinear case with dependent noise. The examined model is a multi-quantile regression, which makes it possible to test hypothesis not only of regression parameters, but of noise parameters as well..Примечания о наличии в документе библиографии/указателя: [References: 9 tit.].Тематика: электронный ресурс | труды учёных ТПУ | тесты | регрессии | шумы | тестирование | статистические процедуры Ресурсы он-лайн:Щелкните здесь для доступа в онлайн | Щелкните здесь для доступа в онлайнНет реальных экземпляров для этой записи
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[References: 9 tit.]
One of the most noticeable features of sign-based statistical procedures is an opportunity to build an exact test for simple hypothesis testing of parameters in a regression model. In this article, we expanded a sing-based approach to the nonlinear case with dependent noise. The examined model is a multi-quantile regression, which makes it possible to test hypothesis not only of regression parameters, but of noise parameters as well.
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