Markovian Transition Probabilities: Estimation And Test Procedures

The outcome variables generated from longitudinal studies are generally correlated and do pose a formidable challenge to model the repeated measures data. It is worth noting that the relationship between dependent variables as well as between dependent and explanatory variables can reveal very usefu...

Full description

Saved in:

Bibliographic Details
Main Author:	Sirdari, Mahboobeh Zangeneh
Format:	Thesis
Language:	English
Published:	2013
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/43381/1/Mahboobeh%20Zangeneh%20Sirdari24.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-usm-ep.43381
record_format	uketd_dc
spelling	my-usm-ep.433812019-04-12T05:26:19Z Markovian Transition Probabilities: Estimation And Test Procedures 2013 Sirdari, Mahboobeh Zangeneh QA1 Mathematics (General) The outcome variables generated from longitudinal studies are generally correlated and do pose a formidable challenge to model the repeated measures data. It is worth noting that the relationship between dependent variables as well as between dependent and explanatory variables can reveal very useful information for the policy makers and researchers in various fields. In modeling for data with dependence in outcomes as well as when the outcomes are associated with the potential explanatory variables, marginal or conditional models can be used. Most of the works found in the literature are based on marginal models and only relatively few works employ the conditional models in addressing the dependence. In a different class of models, known as the quadratic exponential form, models are developed in order to take account of underlying associations among the outcome variables. The conditional models, on the other hand, are mostly based on the Markovian assumptions. These models are gaining importance increasingly due to the underlying nature of relationships among the outcome variables generated from longitudinal data. 2013 Thesis http://eprints.usm.my/43381/ http://eprints.usm.my/43381/1/Mahboobeh%20Zangeneh%20Sirdari24.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1 Mathematics (General)
spellingShingle	QA1 Mathematics (General) Sirdari, Mahboobeh Zangeneh Markovian Transition Probabilities: Estimation And Test Procedures
description	The outcome variables generated from longitudinal studies are generally correlated and do pose a formidable challenge to model the repeated measures data. It is worth noting that the relationship between dependent variables as well as between dependent and explanatory variables can reveal very useful information for the policy makers and researchers in various fields. In modeling for data with dependence in outcomes as well as when the outcomes are associated with the potential explanatory variables, marginal or conditional models can be used. Most of the works found in the literature are based on marginal models and only relatively few works employ the conditional models in addressing the dependence. In a different class of models, known as the quadratic exponential form, models are developed in order to take account of underlying associations among the outcome variables. The conditional models, on the other hand, are mostly based on the Markovian assumptions. These models are gaining importance increasingly due to the underlying nature of relationships among the outcome variables generated from longitudinal data.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Sirdari, Mahboobeh Zangeneh
author_facet	Sirdari, Mahboobeh Zangeneh
author_sort	Sirdari, Mahboobeh Zangeneh
title	Markovian Transition Probabilities: Estimation And Test Procedures
title_short	Markovian Transition Probabilities: Estimation And Test Procedures
title_full	Markovian Transition Probabilities: Estimation And Test Procedures
title_fullStr	Markovian Transition Probabilities: Estimation And Test Procedures
title_full_unstemmed	Markovian Transition Probabilities: Estimation And Test Procedures
title_sort	markovian transition probabilities: estimation and test procedures
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2013
url	http://eprints.usm.my/43381/1/Mahboobeh%20Zangeneh%20Sirdari24.pdf
_version_	1747821204654260224

Markovian Transition Probabilities: Estimation And Test Procedures

Similar Items