Мобильная версия

Доступно журналов:

3 288

Доступно статей:

3 891 637

 

Скрыть метаданые

Автор BLIGHT, B. J. N.
Автор OTT, L.
Дата выпуска 1975
dc.description A method is presented which, in many cases, appears to be an improvement over the standard approach to the polynomial regression problem. This improvement is achieved by focusing attention on the deviation of the polynomial representation from the true underlying function. By fully utilizing the nature of this deviation, a model is constructed in which its properties are represented in terms of a Bayesian prior distribution. The model is analyzed to give parameter estimates and predictions of further observations. Comparisons are made with standard least squares procedures when the true underlying model is (a) quadratic and (b) linear and quadratic with a superimposed sine wave.
Формат application.pdf
Издатель Oxford University Press
Копирайт © Oxford University Press
Тема Bayesian prior
Тема Bias
Тема Deterministic error component
Тема Least squares
Тема Polynomial regression
Тема Prediction
Тема Response curve
Тема Articles
Название A Bayesian approach to model inadequacy for polynomial regression
Тип research-article
Electronic ISSN 1464-3510
Print ISSN 0006-3444
Журнал Biometrika
Том 62
Первая страница 79
Последняя страница 88
Аффилиация BLIGHT B. J. N.; Department of Statistics, Birkbeck College
Аффилиация OTT L.; Department of Statistics, University of Florida
Выпуск 1

Скрыть метаданые