Zobrazeno 1 - 10
of 15
pro vyhledávání: '"K. E. Ahmad"'
Publikováno v:
Statistics. 46:787-797
This paper is concerned with the problem of obtaining Bayesian prediction bounds of future observables from a finite mixture of Burr type XII distribution with its reciprocal based on type-I censored data. We consider the one-sample and two-sample pr
Publikováno v:
Journal of Statistical Computation and Simulation. 81:2121-2130
The Bayesian estimation for the parameters of the finite mixture of the Burr type XII distribution with its reciprocal are obtained based on the type-I censored data. The Bayes estimators are computed based on squared error and Linex loss functions a
Publikováno v:
Communications in Statistics - Simulation and Computation. 39:713-725
The identifiability of finite mixture of Gumbel distributions is proved. A procedure is presented for finding maximum likelihood estimates for the four parameters of a mixture of two Gumbel distributions, using classified and unclassified observation
Publikováno v:
Statistical Papers. 52:835-845
In this paper, the finite mixture of Burr type XII distribution with its reciprocal, is proposed as a failure model. The failure rate (FR) of the new model covers several types of failure rates. It is shown that depending on the parameter values, the
Autor:
Z. F. Jaheen, K. E. Ahmad
Publikováno v:
Computers & Mathematics with Applications. 29(12):39-47
In this paper, Bayesian estimation of the two (unknown) parameters and reliability function of the Inverse Gaussian distribution are obtained by using the approximation forms of Lindley [1] and Tierney and Kadane [2]. Based on a Monte Carlo simulatio
Publikováno v:
Microelectronics Reliability. 35:817-820
In this paper, Bayesian estimation of R = P(Y > X) when Y and X are two independent but not identically distributed geometric random variables is obtained by using Lindley's approximation form. Based on a Monte Carlo simulation, the Bayes estimate of
Autor:
K. E. Ahmad, Ayman M. Abd-Elrahman
Publikováno v:
Mathematical and Computer Modelling. 19:41-51
A procedure is presented for finding maximum likelihood estimates of the parameters of a mixture of two Weibull distributions. Estimation of a nonlinear discriminant function on the basis of small sample size is considered. Throughout simulation expe
Autor:
K. E. Ahmad
Publikováno v:
Mathematical and Computer Modelling. 18:83-92
The three-parameter random walk distribution is defined and its characteristics are derived. Moment estimators and maximum likelihood estimators are obtained. The moment estimators are found in closed form. The information matrices are derived, and h
Publikováno v:
Internal medicine journal. 39(11)
Atrial fibrillation (AF) is an important predisposing factor for ischaemic stroke. There is evidence to suggest that even in appropriate candidates warfarin therapy is underutilized. We assessed the prevalence of AF in an Australian stroke unit to de
Autor:
Nagi S. Abd El-Hakim, K. E. Ahmad
Publikováno v:
Applied Mathematics Letters. 3:1-3
A simple and easily implemented algorithm is presented for obtaining random variables from a truncated standard normal distribution. The algorithm is based on a generalization of Von Neumann's rejection technique. The first-stage sampling in our algo