Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis
The work in this thesis is concerned with the development of techniques for the assessment of statistical process control in data that include censored observations. Various regression models with censored data are presented and we concentrate on four competing risks models namely, two parametric Co...
Saved in:
Main Author: | Mohamed Elfaki, Faiz Ahmed |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2004
|
Online Access: | http://psasir.upm.edu.my/id/eprint/5553/1/FSAS_2004_27.pdf http://psasir.upm.edu.my/id/eprint/5553/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Competing risks for reliability analysis using Cox’s model
by: Mohamed Elfaki, Faiz Ahmed, et al.
Published: (2007) -
Statistical process control for failure crushing time data using competing risks model
by: Elfaki, Faiz Ahmed Mohamed, et al.
Published: (2011) -
Parametric and semiparametric estimation methods for bivariate copula in rainfall application
by: Mohd. Lokoman, Rahmah
Published: (2017) -
Parametric and semiparametric estimation methods for bivariate copula in rainfall application
by: Mohd. Lokoman, Rahmah
Published: (2017) -
Statistical process control for failure crushing time data using competing risks model.
by: Elfaki, F.A.M., et al.
Published: (2011)