THE ODD KUMARASWAMY INVERSE WEIBULL DISTRIBUTION WITH APPLICATION TO SURVIVAL DATA

2017 ◽  
Vol 51 (5) ◽  
pp. 309-335
Author(s):  
Bol A. M. Atem ◽  
George O. Orwa ◽  
Levi N. Mbugua
Keyword(s):  
Weibull Distribution ◽  
Survival Data ◽  
Inverse Weibull Distribution

APPLICATION OF KUMARASWAMY INVERSE WEIBULL DISTRIBUTION IN MODELING SURVIVAL DATA

2020 ◽  
Vol 64 (1) ◽  
pp. 1-22
Author(s):  
Dorcas W. Nduati ◽  
Levi N. Mbugua ◽  
Moses W. Wakoli
Keyword(s):  
Weibull Distribution ◽  
Survival Data ◽  
Inverse Weibull Distribution

A Note On Beta Inverse-Weibull Distribution

2013 ◽  
Vol 42 (2) ◽  
pp. 320-335 ◽  
Author(s):  
Sharoon Hanook ◽  
Muhammad Qaiser Shahbaz ◽  
Muhammad Mohsin ◽  
B. M. Golam Kibria
Keyword(s):  
Weibull Distribution ◽  
Inverse Weibull Distribution

scholarly journals ANALISIS SINTASAN PARAMETRIK PADA PASIEN STROKE DENGAN PENDEKATAN DISTRIBUSI WEIBULL

2019 ◽  
Vol 8 (1) ◽  
pp. 55
Author(s):  
NI MADE SRI WAHYUNI ◽  
I WAYAN SUMARJAYA ◽  
NI LUH PUTU SUCIPTAWATI
Keyword(s):  
Body Mass Index ◽  
Survival Analysis ◽  
Weibull Distribution ◽  
Survival Data ◽  
The Body ◽  
Predictor Variables ◽  
Survival Models ◽  
Stroke Patients ◽  
Parametric Survival ◽  
Parametric Survival Analysis

Parametric survival analysis is one of the survival analysis that has a distribution of survival data that follows a certain distribution. Weibull distribution is a distribution that is often used in parametric survival analysis. The purpose of this study is to determine parametric survival models using the Weibull distribution and to determine  the factors that can influence the recovery of stroke patients. This study uses data on stroke patients in the Wangaya hospital, Denpasar in 2017. The best model obtained in this study is a model that consists of two predictor variables, namely the age and the body mass index (BMI).Therefore the  factors that can influence the recovery of stroke patients are age and BMI.

scholarly journals Kumaraswamy log-logistic Weibull distribution: model, theory and application to lifetime and survival data

Heliyon ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e01144
Author(s):  
P. Mdlongwa ◽  
B.O. Oluyede ◽  
A.K.A. Amey ◽  
A.F. Fagbamigbe ◽  
B. Makubate
Keyword(s):  
Weibull Distribution ◽  
Model Theory ◽  
Survival Data ◽  
Distribution Model
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