Modelling doubly interval censored survival data via the log logistic distribution with covariate

Modelling doubly interval censored survival data via the log logistic distribution with covariate

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Bibliographic Details
Main Author: Loh, Yue Fang
Format: Thesis
Language:English
Published: 2017
Subjects:
Mathematics
Mathematical models
Online Access:http://psasir.upm.edu.my/id/eprint/92503/1/FS%202018%2036%20-T.pdf
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id my-upm-ir.92503
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spelling my-upm-ir.925032022-05-12T06:30:21Z Modelling doubly interval censored survival data via the log logistic distribution with covariate 2017-12 Loh, Yue Fang Mathematics Mathematical models 2017-12 Thesis http://psasir.upm.edu.my/id/eprint/92503/ http://psasir.upm.edu.my/id/eprint/92503/1/FS%202018%2036%20-T.pdf text en public doctoral Universiti Putra Malaysia Mathematics Mathematical models Arasan, Jayanthi
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
advisor Arasan, Jayanthi
topic Mathematics
Mathematical models
spellingShingle Mathematics
Mathematical models

Loh, Yue Fang
Modelling doubly interval censored survival data via the log logistic distribution with covariate
description
format Thesis
qualification_level Doctorate
author Loh, Yue Fang
author_facet Loh, Yue Fang
author_sort Loh, Yue Fang
title Modelling doubly interval censored survival data via the log logistic distribution with covariate
title_short Modelling doubly interval censored survival data via the log logistic distribution with covariate
title_full Modelling doubly interval censored survival data via the log logistic distribution with covariate
title_fullStr Modelling doubly interval censored survival data via the log logistic distribution with covariate
title_full_unstemmed Modelling doubly interval censored survival data via the log logistic distribution with covariate
title_sort modelling doubly interval censored survival data via the log logistic distribution with covariate
granting_institution Universiti Putra Malaysia
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/92503/1/FS%202018%2036%20-T.pdf
_version_ 1747813744240492544

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