JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS)

Citation

Wan Muhamad Amir and Mohamad Shafiq and Hanafi A. Rahim and Puspa Liza Ghazali and Azlida Aleng and Abdullah, Z. (2016) JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS). Journal of Modern Applied Statistical Methods, 15 (1). pp. 884-892. ISSN 1538 − 9472

Abstract

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.

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Official URL: http://digitalcommons.wayne.edu/jmasm/vol15/iss1/4...

Additional Metadata

Item Type:	Non-Indexed Article
Collection Type:	Institution
Date:	May 2016
Journal or Publication Title:	Journal of Modern Applied Statistical Methods
ISSN:	1538 − 9472
Uncontrolled Keywords:	Multiple linear regression: robust regression and bootstrap method
Faculty/Centre/Office:	Faculty of Entrepreneurship and Business
URI:	http://discol.umk.edu.my/id/eprint/8421
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