Estimation in Linear Regression Model for Censored Family Data
博士 === 國立中央大學 === 數學研究所 === 87 === We consider regression analysis of data that consist of many small andindependent groups of correlated, possibly censored, failure time observations.Assuming that, with a transformation, the failure time is linearly relatedto its covariates, we apply empirical proc...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
1999
|
Online Access: | http://ndltd.ncl.edu.tw/handle/96252577298912243972 |
id |
ndltd-TW-087NCU00479011 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-087NCU004790112016-07-11T04:13:52Z http://ndltd.ncl.edu.tw/handle/96252577298912243972 Estimation in Linear Regression Model for Censored Family Data 設限家庭數據在線性迴歸模型之估計 Miao Ying Chen 陳妙盈 博士 國立中央大學 數學研究所 87 We consider regression analysis of data that consist of many small andindependent groups of correlated, possibly censored, failure time observations.Assuming that, with a transformation, the failure time is linearly relatedto its covariates, we apply empirical process theoryto show that the estimator derived from stratified linear regressionis asymptotically normal.Estimates for the standard errors of the estimated regression coefficientsare provided by a resampling method. An example and a simulation study areincluded to indicate its computational performance. I Shou Chang Chao A. Hsiung 張憶壽 熊昭 1999 學位論文 ; thesis 34 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
博士 === 國立中央大學 === 數學研究所 === 87 === We consider regression analysis of data that consist of many small andindependent groups of correlated, possibly censored, failure time observations.Assuming that, with a transformation, the failure time is linearly relatedto its covariates, we apply empirical process theoryto show that the estimator derived from stratified linear regressionis asymptotically normal.Estimates for the standard errors of the estimated regression coefficientsare provided by a resampling method. An example and a simulation study areincluded to indicate its computational performance.
|
author2 |
I Shou Chang |
author_facet |
I Shou Chang Miao Ying Chen 陳妙盈 |
author |
Miao Ying Chen 陳妙盈 |
spellingShingle |
Miao Ying Chen 陳妙盈 Estimation in Linear Regression Model for Censored Family Data |
author_sort |
Miao Ying Chen |
title |
Estimation in Linear Regression Model for Censored Family Data |
title_short |
Estimation in Linear Regression Model for Censored Family Data |
title_full |
Estimation in Linear Regression Model for Censored Family Data |
title_fullStr |
Estimation in Linear Regression Model for Censored Family Data |
title_full_unstemmed |
Estimation in Linear Regression Model for Censored Family Data |
title_sort |
estimation in linear regression model for censored family data |
publishDate |
1999 |
url |
http://ndltd.ncl.edu.tw/handle/96252577298912243972 |
work_keys_str_mv |
AT miaoyingchen estimationinlinearregressionmodelforcensoredfamilydata AT chénmiàoyíng estimationinlinearregressionmodelforcensoredfamilydata AT miaoyingchen shèxiànjiātíngshùjùzàixiànxìnghuíguīmóxíngzhīgūjì AT chénmiàoyíng shèxiànjiātíngshùjùzàixiànxìnghuíguīmóxíngzhīgūjì |
_version_ |
1718344219836284928 |