PURO: A Package for Unmasking Regression Outliers

Name: PURO: A Package for Unmasking Regression Outliers
Author: Siniksaran, E, Satman, M H

İsim	PURO: A Package for Unmasking Regression Outliers
Yazar	Siniksaran, E, Satman, M H
Konu	Estimates, Mathematical models, Packages, Regression, Statistics, Strategy
Tür	Süreli Yayın
Dil	Belirlenmemiş dil
Dijital	Evet
Yazma	Hayır
Kütüphane:	Washington Üniversitesi
Demirbaş Numarası	ISSN: 1303-9709
Kayıt Numarası	cdi_proquest_miscellaneous_869844605
Lokasyon	Check availability & request options
Tarih	Gazi University Journal of Science, 1901-01, Vol.24 (1), p.59-68
Notlar	Multiple regression outliers should be identified because of their potential effect on parameter estimates and inferences from the regression model. In recent years, researchers have proposed numerous strategies and procedures to identify the outliers. A Mathematica package PURO is introduced which implements seven methods from the latest and most respected outlier detection procedures in the statistics literature.
Örnek Metin	Gazi University Journal of Science, 1901-01, Vol.24 (1), p.59-68

Kaynağa git Washington Üniversitesi University of Washington

Aramaya Dön

Washington Üniversitesi

Kaynağa git

PURO: A Package for Unmasking Regression Outliers

Yazar Siniksaran, E, Satman, M H

Konu Estimates, Mathematical models, Packages, Regression, Statistics, Strategy

Tür Süreli Yayın

Dil Belirlenmemiş dil

Dijital Evet

Yazma Hayır

Kütüphane Washington Üniversitesi

Demirbaş Numarası ISSN: 1303-9709

Kayıt Numarası cdi_proquest_miscellaneous_869844605

Lokasyon Check availability & request options

Tarih Gazi University Journal of Science, 1901-01, Vol.24 (1), p.59-68

Notlar Multiple regression outliers should be identified because of their potential effect on parameter estimates and inferences from the regression model. In recent years, researchers have proposed numerous strategies and procedures to identify the outliers. A Mathematica package PURO is introduced which implements seven methods from the latest and most respected outlier detection procedures in the statistics literature.

Örnek Metin Gazi University Journal of Science, 1901-01, Vol.24 (1), p.59-68