東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Unified ordinal regression: Model a...

Fu, Limin.

Linked to FindBook

Google Book

Amazon

博客來

Unified ordinal regression: Model assessment and semiparametric analysis.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Unified ordinal regression: Model assessment and semiparametric analysis./
Author:	Fu, Limin.
Description:	84 p.
Notes:	Adviser: Douglas Simpson.
Contained By:	Dissertation Abstracts International61-01B.
Subject:	Biology, Biostatistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9955616
ISBN:	0599585528

Unified ordinal regression: Model assessment and semiparametric analysis.
Fu, Limin.

Unified ordinal regression: Model assessment and semiparametric analysis. - 84 p.

Adviser: Douglas Simpson.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.

Various forms of logit model have been employed in the regression analysis of ordinal response data. In the first part of the thesis we adapt the theory and methodology of generalized estimating equations (GEE) and a binary coding of the ordinal response so that the various forms of logit model can be handled in a unified fashion. We develop Rao-type generalized score tests for model assessment within this framework.

ISBN: 0599585528Subjects--Topical Terms:

1018416
Biology, Biostatistics.

Unified ordinal regression: Model assessment and semiparametric analysis.
LDR:02475nam 2200325 a 45 001 929282
005 20110427
008 110427s2000 eng d
020 $a 0599585528
035 $a (UnM)AAI9955616
035 $a AAI9955616
040 $a UnM $c UnM
100 1 $a Fu, Limin. $3 1252766
245 1 0 $a Unified ordinal regression: Model assessment and semiparametric analysis.
300 $a 84 p.
500 $a Adviser: Douglas Simpson.
500 $a Source: Dissertation Abstracts International, Volume: 61-01, Section: B, page: 0350.
502 $a Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.
520 $a Various forms of logit model have been employed in the regression analysis of ordinal response data. In the first part of the thesis we adapt the theory and methodology of generalized estimating equations (GEE) and a binary coding of the ordinal response so that the various forms of logit model can be handled in a unified fashion. We develop Rao-type generalized score tests for model assessment within this framework.
520 $a In the second part of the thesis we propose a class of latent structure models to the analysis of longitudinal ordinal data. We assume the observed ordinal scale is a manifestation of a latent continuous variable categorized by a set of unknown threshold values. The dependence among the repeated measurements for a subject is modeled through the latent continuous variable. Monte Carlo <italic> EM</italic> (MCEM) is applied to obtain the maximum likelihood estimates.
520 $a In the third part of the thesis we extend the generalized additive models proposed by Hastie and Tibshirani (1984) to multivariate data and propose a class of multivariate generalized additive models, which model the correlation structure of the components of a multivariate observation as well as the marginal means.
520 $a In the last part of the thesis we discuss the methods for handling censored data for both categorical and continuous responses. We develop <italic>EM </italic> algorithms for censored data in general, and also develop a weighted least squares algorithm for cumulative link models for ordinal responses.
590 $a School code: 0090.
650 4 $a Biology, Biostatistics. $3 1018416
650 4 $a Economics, General. $3 1017424
650 4 $a Statistics. $3 517247
690 $a 0308
690 $a 0463
690 $a 0501
710 2 0 $a University of Illinois at Urbana-Champaign. $3 626646
773 0 $t Dissertation Abstracts International $g 61-01B.
790 $a 0090
790 1 0 $a Simpson, Douglas, $e advisor
791 $a Ph.D.
792 $a 2000
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9955616