JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression

JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression

The aim of bootstrapping is to approximate the sampling distribution of some estimator.An algorithm for combining method is given in SAS, along with applications and visualizations.

Bibliographic Details
Main Authors:	Wan Ahmad, Wan Muhamad Amir, Ghazali, Puspa Liza, Mohd Ibrahim, Mohamad Shafiq, Aleng, Azlida, A. Rahim, Hanafi, Abdullah, Zailani
Format:	Article
Language:	English
Published:	Journal of Modern Applied Statistical Methods Inc 2016
Subjects:	QA276 Mathematical Statistics
Online Access:	http://irep.iium.edu.my/72171/ http://irep.iium.edu.my/72171/ http://irep.iium.edu.my/72171/ http://irep.iium.edu.my/72171/1/Algorithm%20for%20Combining%20In%20Multiple%20Linear%20Model%20Regression.pdf

Internet

http://irep.iium.edu.my/72171/
http://irep.iium.edu.my/72171/
http://irep.iium.edu.my/72171/
http://irep.iium.edu.my/72171/1/Algorithm%20for%20Combining%20In%20Multiple%20Linear%20Model%20Regression.pdf