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Bayesian approach to an exponential ...
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Abraha, Yonas Kidane.
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Bayesian approach to an exponential hazard regression model with a change point.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Bayesian approach to an exponential hazard regression model with a change point./
Author:
Abraha, Yonas Kidane.
Description:
60 p.
Notes:
Source: Masters Abstracts International, Volume: 53-01.
Contained By:
Masters Abstracts International53-01(E).
Subject:
Biostatistics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1527771
ISBN:
9781303979163
Bayesian approach to an exponential hazard regression model with a change point.
Abraha, Yonas Kidane.
Bayesian approach to an exponential hazard regression model with a change point.
- 60 p.
Source: Masters Abstracts International, Volume: 53-01.
Thesis (M.S.)--Florida Atlantic University, 2014.
This item must not be sold to any third party vendors.
This thesis contains two parts. The first part derives the Bayesian estimator of the parameters in a piecewise exponential Cox proportional hazard regression model, with one unknown change point for a right censored survival data. The second part surveys the applications of change point problems to various types of data, such as long-term survival data, longitudinal data and time series data. Furthermore, the proposed method is then used to analyse a real survival data.
ISBN: 9781303979163Subjects--Topical Terms:
1002712
Biostatistics.
Bayesian approach to an exponential hazard regression model with a change point.
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60 p.
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Source: Masters Abstracts International, Volume: 53-01.
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Adviser: Lianfen Qian.
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Thesis (M.S.)--Florida Atlantic University, 2014.
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This thesis contains two parts. The first part derives the Bayesian estimator of the parameters in a piecewise exponential Cox proportional hazard regression model, with one unknown change point for a right censored survival data. The second part surveys the applications of change point problems to various types of data, such as long-term survival data, longitudinal data and time series data. Furthermore, the proposed method is then used to analyse a real survival data.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1527771
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