Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi
A robust MM estimates for the linear model is revisited. This estimates are defined by a three-stage procedures and posses the following properties: (i) they are highly efficient when the errors have a normal distribution and (ii) their breakdown-point is 0.5. A numerical examples are used to show t...
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Penerbit Universiti Kebangsaan Malaysia
1997
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Online Access: | http://psasir.upm.edu.my/id/eprint/22564/1/Penganggar%20MM%20bagi%20model%20linear%20dengan%20titik%20musnah%20dan%20kecekapan%20yang%20tinggi.pdf http://psasir.upm.edu.my/id/eprint/22564/ http://www.ukm.my/jsm/english_journals/vol26num1_1997/vol26num1_97page111-123.html |
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my.upm.eprints.225642016-02-02T04:07:50Z http://psasir.upm.edu.my/id/eprint/22564/ Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi Midi, Habshah A robust MM estimates for the linear model is revisited. This estimates are defined by a three-stage procedures and posses the following properties: (i) they are highly efficient when the errors have a normal distribution and (ii) their breakdown-point is 0.5. A numerical examples are used to show that the MM estimates has a higher breakdown point and is more efficient than The RLS (Reweighted Least Squares Regression based on The Least Median Squares) estimates. Penerbit Universiti Kebangsaan Malaysia 1997 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22564/1/Penganggar%20MM%20bagi%20model%20linear%20dengan%20titik%20musnah%20dan%20kecekapan%20yang%20tinggi.pdf Midi, Habshah (1997) Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi. Sains Malaysiana, 26 (1). pp. 111-123. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol26num1_1997/vol26num1_97page111-123.html |
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A robust MM estimates for the linear model is revisited. This estimates are defined by a three-stage procedures and posses the following properties: (i) they are highly efficient when the errors have a normal distribution and (ii) their breakdown-point is 0.5. A numerical examples are used to show that the MM estimates has a higher breakdown point and is more efficient than The RLS (Reweighted Least Squares Regression based on The Least Median Squares) estimates. |
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Midi, Habshah |
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Midi, Habshah Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi |
author_facet |
Midi, Habshah |
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Midi, Habshah |
title |
Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi |
title_short |
Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi |
title_full |
Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi |
title_fullStr |
Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi |
title_full_unstemmed |
Penganggar MM bagi model linear dengan titik musnah dan kecekapan yang tinggi |
title_sort |
penganggar mm bagi model linear dengan titik musnah dan kecekapan yang tinggi |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
publishDate |
1997 |
url |
http://psasir.upm.edu.my/id/eprint/22564/1/Penganggar%20MM%20bagi%20model%20linear%20dengan%20titik%20musnah%20dan%20kecekapan%20yang%20tinggi.pdf http://psasir.upm.edu.my/id/eprint/22564/ http://www.ukm.my/jsm/english_journals/vol26num1_1997/vol26num1_97page111-123.html |
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