STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA

Ph.D

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Bibliographic Details
Main Author:	LI XIAOYANG
Other Authors:	INDUSTRIAL SYSTEMS ENGINEERING & MGT
Format:	Theses and Dissertations
Language:	English
Published:	2021
Subjects:	Superposition of Renewal Processes, Aggregated Recurrence Data, Splines, Maximum Likelihood Method, Counting Process, Empirical Process
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/187880
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-187880
record_format	dspace
spelling	sg-nus-scholar.10635-1878802022-05-01T18:00:51Z STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA LI XIAOYANG INDUSTRIAL SYSTEMS ENGINEERING & MGT Ye Zhisheng Superposition of Renewal Processes, Aggregated Recurrence Data, Splines, Maximum Likelihood Method, Counting Process, Empirical Process Ph.D DOCTOR OF PHILOSOPHY (FOE) 2021-03-29T18:00:25Z 2021-03-29T18:00:25Z 2020-11-13 Thesis LI XIAOYANG (2020-11-13). STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/187880 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Superposition of Renewal Processes, Aggregated Recurrence Data, Splines, Maximum Likelihood Method, Counting Process, Empirical Process
spellingShingle	Superposition of Renewal Processes, Aggregated Recurrence Data, Splines, Maximum Likelihood Method, Counting Process, Empirical Process LI XIAOYANG STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA
description	Ph.D
author2	INDUSTRIAL SYSTEMS ENGINEERING & MGT
author_facet	INDUSTRIAL SYSTEMS ENGINEERING & MGT LI XIAOYANG
format	Theses and Dissertations
author	LI XIAOYANG
author_sort	LI XIAOYANG
title	STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA
title_short	STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA
title_full	STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA
title_fullStr	STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA
title_full_unstemmed	STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA
title_sort	statistical methods for counting processes with incomplete recurrent event data
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/187880
_version_	1734309235457523712

STATISTICAL METHODS FOR COUNTING PROCESSES WITH INCOMPLETE RECURRENT EVENT DATA

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