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

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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Main Authors: Wan Muhamad Amir, Mohamad Shafiq, Hanafi A. Rahim, Puspa Liza Ghazali, Azlida Aleng, Abdullah, Z.
Format: Non-Indexed Article
Published: JMASM Inc. 2016
Online Access:http://discol.umk.edu.my/id/eprint/8421/
http://digitalcommons.wayne.edu/jmasm/vol15/iss1/46/
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id my.umk.eprints.8421
record_format eprints
spelling my.umk.eprints.84212022-05-23T10:27:24Z http://discol.umk.edu.my/id/eprint/8421/ JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS) Wan Muhamad Amir Mohamad Shafiq Hanafi A. Rahim Puspa Liza Ghazali Azlida Aleng Abdullah, Z. 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. JMASM Inc. 2016-05 Non-Indexed Article NonPeerReviewed 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 http://digitalcommons.wayne.edu/jmasm/vol15/iss1/46/
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
description 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.
format Non-Indexed Article
author Wan Muhamad Amir
Mohamad Shafiq
Hanafi A. Rahim
Puspa Liza Ghazali
Azlida Aleng
Abdullah, Z.
spellingShingle Wan Muhamad Amir
Mohamad Shafiq
Hanafi A. Rahim
Puspa Liza Ghazali
Azlida Aleng
Abdullah, Z.
JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS)
author_facet Wan Muhamad Amir
Mohamad Shafiq
Hanafi A. Rahim
Puspa Liza Ghazali
Azlida Aleng
Abdullah, Z.
author_sort Wan Muhamad Amir
title JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS)
title_short JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS)
title_full JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS)
title_fullStr JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS)
title_full_unstemmed JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS)
title_sort jmasm algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (sas)
publisher JMASM Inc.
publishDate 2016
url http://discol.umk.edu.my/id/eprint/8421/
http://digitalcommons.wayne.edu/jmasm/vol15/iss1/46/
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score 13.211869

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