Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Muhammad Yameen Danish"'
Autor:
Ayesha Tahira, Muhammad Yameen Danish
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32038- (2024)
The cure models based on standard distributions like exponential, Weibull, lognormal, Gompertz, gamma, are often used to analyze survival data from cancer clinical trials with long-term survivors. Sometimes, the data is simple, and the standard cure
Externí odkaz:
https://doaj.org/article/ea67e001e17e4a6ebee630748cc8939c
Autor:
Muhammad Yameen Danish, Muhammad Aslam
Publikováno v:
Austrian Journal of Statistics, Vol 42, Iss 1 (2016)
This paper deals with Bayesian analysis of two-parameter generalized exponential distribution in proportional hazards model of random censorship. It is well known for two-parameter lifetime distributions that continuous conjugate priors for the param
Externí odkaz:
https://doaj.org/article/adfd4d80c27c42189ba8b9bd5d24c326
Publikováno v:
Kybernetika. :25-42
Publikováno v:
Journal of Statistical Computation and Simulation. 92:43-59
The article deals with an objective Bayesian analysis for Weibull distribution with application in random censorship model. The objective Bayesian analysis has a long history from Bayes and Laplace...
Publikováno v:
American Journal of Mathematical and Management Sciences. 36:66-83
SYNOPTIC ABSTRACTThis article presents the survival analysis in a proportional hazards model of random censorship using Weibull distribution. It is well known for Weibull distribution that the conjugate prior of the scale and shape parameters does no
Autor:
Muhammad Aslam, Muhammad Yameen Danish
Publikováno v:
Pakistan Journal of Statistics and Operation Research, Vol 12, Iss 2, Pp 301-316 (2016)
Pakistan Journal of Statistics and Operation Research; Vol. 12 No. 2, 2016; 301-316
Pakistan Journal of Statistics and Operation Research; Vol. 12 No. 2, 2016; 301-316
The paper presents the Bayesian analysis of two-parameter geometric extreme exponential distribution with randomly censored data. The continuous conjugate prior of the scale and shape parameters of the model does not exist while computing the Bayes e
Autor:
Muhammad Yameen Danish, Muhammad Aslam
Publikováno v:
Journal of Applied Statistics. 40:1106-1119
This paper deals with the Bayesian estimation of generalized exponential distribution in the proportional hazards model of random censorship under asymmetric loss functions. It is well known for the two-parameter lifetime distributions that the conti
Autor:
Muhammad Yameen Danish, Muhammad Aslam
Publikováno v:
Journal of Statistical Computation and Simulation. 84:215-230
In this paper, we consider the Bayesian inference of the unknown parameters of the randomly censored Weibull distribution. A joint conjugate prior on the model parameters does not exist; we assume that the parameters have independent gamma priors. Si
Autor:
Muhammad Yameen Danish, Muhammad Aslam
Publikováno v:
Data Science Journal; Vol 11 (2012); 72-88
In this paper, we consider the Bayesian estimation of parameters in the proportional hazards model of random censorship for the Weibull distribution under different asymmetric loss functions. It is well-known for the Weibull distribution that a joint