Издательство: | Книга по требованию |
Дата выхода: | июль 2011 |
ISBN: | 978-6-1305-0417-5 |
Объём: | 108 страниц |
Масса: | 184 г |
Размеры(В x Ш x Т), см: | 23 x 16 x 1 |
High Quality Content by WIKIPEDIA articles! In statistics, a parametric model or parametric family or finite-dimensional model refers to a family of distributions which can be described using a finite number of parameters. These parameters are usually collected together to form a single k-dimensional parameter vector ? = (?1, ?2, …, ?k). Parametric models are contrasted with the semi-parametric, semi-nonparametric, and non-parametric models, all of which consist of an infinite set of “parameters” for description. The distinction between these four classes is as follows: * in a “parametric” model all the parameters are in finite-dimensional parameter spaces; * a model is “nonparametric” if all the parameters are in infinite-dimensional parameter spaces; * a “semi-parametric” model contains finite-dimensional parameters of interest and infinite-dimensional nuisance parameters; * a “semi-nonparametric” model has both finite-dimensional and infinite-dimensional unknown parameters of interest.
Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.