Bayesian cumulative hazard rate estimation for mixed right-censored and current status data

碩士 === 中原大學 === 應用數學研究所 === 103 === The study investigated the estimation of the cumulative hazard function for mixed right-censored and current status data. Tian-yo Wang (2015) used Bayesian approach to estimate their distribution function. The study used Bayesian statistics and Markov chain Monte...

Full description

Bibliographic Details
Main Authors:	Yi-Chun Chen, 陳奕峻
Other Authors:	Yuh-Jenn Wu
Format:	Others
Language:	zh-TW
Published:	2015
Online Access:	http://ndltd.ncl.edu.tw/handle/ypcmvt

id	ndltd-TW-103CYCU5507005
record_format	oai_dc
spelling	ndltd-TW-103CYCU55070052019-05-15T22:00:21Z http://ndltd.ncl.edu.tw/handle/ypcmvt Bayesian cumulative hazard rate estimation for mixed right-censored and current status data 貝氏對右設限和現狀數據混合資料下累積風險之研究 Yi-Chun Chen 陳奕峻碩士中原大學應用數學研究所 103 The study investigated the estimation of the cumulative hazard function for mixed right-censored and current status data. Tian-yo Wang (2015) used Bayesian approach to estimate their distribution function. The study used Bayesian statistics and Markov chain Monte Carlo method to calculate the similar data, which is different in estimated cumulative hazard function. We chose to directly estimate cumulative hazard function because it was a special case of Cartesian model. Considering the covariate, we will use the method to estimate the data. Its simulation results consistent with theoretical. Yuh-Jenn Wu 吳裕振 2015 學位論文 ; thesis 33 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 中原大學 === 應用數學研究所 === 103 === The study investigated the estimation of the cumulative hazard function for mixed right-censored and current status data. Tian-yo Wang (2015) used Bayesian approach to estimate their distribution function. The study used Bayesian statistics and Markov chain Monte Carlo method to calculate the similar data, which is different in estimated cumulative hazard function. We chose to directly estimate cumulative hazard function because it was a special case of Cartesian model. Considering the covariate, we will use the method to estimate the data. Its simulation results consistent with theoretical.
author2	Yuh-Jenn Wu
author_facet	Yuh-Jenn Wu Yi-Chun Chen 陳奕峻
author	Yi-Chun Chen 陳奕峻
spellingShingle	Yi-Chun Chen 陳奕峻 Bayesian cumulative hazard rate estimation for mixed right-censored and current status data
author_sort	Yi-Chun Chen
title	Bayesian cumulative hazard rate estimation for mixed right-censored and current status data
title_short	Bayesian cumulative hazard rate estimation for mixed right-censored and current status data
title_full	Bayesian cumulative hazard rate estimation for mixed right-censored and current status data
title_fullStr	Bayesian cumulative hazard rate estimation for mixed right-censored and current status data
title_full_unstemmed	Bayesian cumulative hazard rate estimation for mixed right-censored and current status data
title_sort	bayesian cumulative hazard rate estimation for mixed right-censored and current status data
publishDate	2015
url	http://ndltd.ncl.edu.tw/handle/ypcmvt
work_keys_str_mv	AT yichunchen bayesiancumulativehazardrateestimationformixedrightcensoredandcurrentstatusdata AT chényìjùn bayesiancumulativehazardrateestimationformixedrightcensoredandcurrentstatusdata AT yichunchen bèishìduìyòushèxiànhéxiànzhuàngshùjùhùnhézīliàoxiàlèijīfēngxiǎnzhīyánjiū AT chényìjùn bèishìduìyòushèxiànhéxiànzhuàngshùjùhùnhézīliàoxiàlèijīfēngxiǎnzhīyánjiū
_version_	1719123444720730112

Bayesian cumulative hazard rate estimation for mixed right-censored and current status data

Similar Items