Mohd. Aamir Malik
Mohd. Aamir Malik has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Deepesh Bhati
Department of Statistics, Central University of Rajasthan, Ajmer, India
3 shared publications - H. J. Vaman
Central University of Rajasthan
1 shared publication - Kanichukattu Korakutty Jose
Department of Statistics, St.Thomas College Pala, Arunapuram; and Mahathma Gandhi University, Kottayam, Kerala, 686574India
1 shared publication
Latest Publications
- Open Access
A new 3-parameter extension of generalized lindley distribution
Here, we introduce a new class of Lindley generated distributions which results in more flexible model with increasing failure rate (IFR), decreasing failure rate(DFR) and up-side down hazard functions for different choices of parametric values. We explore, various distributional properties including limiting distribution of extreme order statistics explored. Maximum likelihood estimators and the confidence intervals of the parameters are obtained. The applicability of the proposed distribution is shown through modelling two sets of real data on bladder cancer patients and waiting time in a queue. Further, we carry out stress-strength analysis for applying the model in system reliability studies.
Open AccessA new 3-parameter extension of generalized lindley distribution
Here, we introduce a new class of Lindley generated distributions which results in more flexible model with increasing failure rate (IFR), decreasing failure rate(DFR) and up-side down hazard functions for different choices of parametric values. We explore, various distributional properties including limiting distribution of extreme order statistics explored. Maximum likelihood estimators and the confidence intervals of the parameters are obtained. The applicability of the proposed distribution is shown through modelling two sets of real data on bladder cancer patients and waiting time in a queue. Further, we carry out stress-strength analysis for applying the model in system reliability studies.
- 6 February 2015
- Published by Springer Nature in METRON
- Vol. 73 (3) , 335-357
Lindley–Exponential distribution: properties and applications
- 6 February 2015
- Published by Springer Nature in METRON
- Vol. 73 (3) , 335-357
Lindley–Exponential distribution: properties and applications
- Open Access
On Lindley-Exponential Distribution: Properties and Application
In this paper, we introduce a new distribution generated by Lindley random variable which offers a more flexible model for modelling lifetime data. Various statistical properties like distribution function, survival function, moments, entropy, and limiting distribution of extreme order statistics are established. Inference for a random sample from the proposed distribution is investigated and maximum likelihood estimation method is used for estimating parameters of this distribution. The applicability of the proposed distribution is shown through real data sets.
Open AccessOn Lindley-Exponential Distribution: Properties and Application
In this paper, we introduce a new distribution generated by Lindley random variable which offers a more flexible model for modelling lifetime data. Various statistical properties like distribution function, survival function, moments, entropy, and limiting distribution of extreme order statistics are established. Inference for a random sample from the proposed distribution is investigated and maximum likelihood estimation method is used for estimating parameters of this distribution. The applicability of the proposed distribution is shown through real data sets.