NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES

Ph.D

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Bibliographic Details
Main Author:	NING YILIN
Other Authors:	INTEGRATIVE SCIENCES & ENGINEERING PROG
Format:	Theses and Dissertations
Language:	English
Published:	2020
Subjects:	conditional probit, rank-ordered logit, cumulative link model, extreme value type I distribution, skewed outcome
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/171624
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-171624
record_format	dspace
spelling	sg-nus-scholar.10635-1716242022-07-01T18:01:31Z NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES NING YILIN INTEGRATIVE SCIENCES & ENGINEERING PROG Mikael Hartman Tan Chuen Seng conditional probit, rank-ordered logit, cumulative link model, extreme value type I distribution, skewed outcome Ph.D DOCTOR OF PHILOSOPHY (NUSGS) 2020-07-20T18:00:20Z 2020-07-20T18:00:20Z 2020-01-16 Thesis NING YILIN (2020-01-16). NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/171624 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	conditional probit, rank-ordered logit, cumulative link model, extreme value type I distribution, skewed outcome
spellingShingle	conditional probit, rank-ordered logit, cumulative link model, extreme value type I distribution, skewed outcome NING YILIN NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES
description	Ph.D
author2	INTEGRATIVE SCIENCES & ENGINEERING PROG
author_facet	INTEGRATIVE SCIENCES & ENGINEERING PROG NING YILIN
format	Theses and Dissertations
author	NING YILIN
author_sort	NING YILIN
title	NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES
title_short	NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES
title_full	NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES
title_fullStr	NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES
title_full_unstemmed	NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES
title_sort	novel extension and application of regression models for continuous and ordinal outcomes
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/171624
_version_	1738844594272993280

NOVEL EXTENSION AND APPLICATION OF REGRESSION MODELS FOR CONTINUOUS AND ORDINAL OUTCOMES

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