Estimating log-logistic survival parameters using maximum likelihood estimation approach

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Main Authors: Wan, Yoke Chin, Mohd. Khalid, Zarina
Format: Conference or Workshop Item
Published: 2011
Subjects:
Online Access:http://eprints.utm.my/id/eprint/45832/
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Institution: Universiti Teknologi Malaysia
id my.utm.45832
record_format eprints
spelling my.utm.458322017-08-23T06:08:05Z http://eprints.utm.my/id/eprint/45832/ Estimating log-logistic survival parameters using maximum likelihood estimation approach Wan, Yoke Chin Mohd. Khalid, Zarina Q Science (General) 2011 Conference or Workshop Item PeerReviewed Wan, Yoke Chin and Mohd. Khalid, Zarina (2011) Estimating log-logistic survival parameters using maximum likelihood estimation approach. In: National Science Postgraduate Conference (Nspc 2011).
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
spellingShingle Q Science (General)
Wan, Yoke Chin
Mohd. Khalid, Zarina
Estimating log-logistic survival parameters using maximum likelihood estimation approach
format Conference or Workshop Item
author Wan, Yoke Chin
Mohd. Khalid, Zarina
author_facet Wan, Yoke Chin
Mohd. Khalid, Zarina
author_sort Wan, Yoke Chin
title Estimating log-logistic survival parameters using maximum likelihood estimation approach
title_short Estimating log-logistic survival parameters using maximum likelihood estimation approach
title_full Estimating log-logistic survival parameters using maximum likelihood estimation approach
title_fullStr Estimating log-logistic survival parameters using maximum likelihood estimation approach
title_full_unstemmed Estimating log-logistic survival parameters using maximum likelihood estimation approach
title_sort estimating log-logistic survival parameters using maximum likelihood estimation approach
publishDate 2011
url http://eprints.utm.my/id/eprint/45832/
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