Muhammad Aslam

Affiliations:
  • Riphah International University, Department of Mathematics and Statistics, Islamabad, Pakistan
  • Quaid-i-Azam University, Department of Statistics, Islamabad, Pakistan (1988 - 2014)
  • University of Wales, UK (PhD 1996)


According to our database1, Muhammad Aslam authored at least 12 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2022
Bayesian analysis of left-censored data using Weibull mixture model.
Soft Comput., 2022

A robust hybrid exponentially weighted moving average chart for monitoring time between events.
Qual. Reliab. Eng. Int., 2022

An enhanced double homogeneously weighted moving average control chart to monitor process location with application in automobile field.
Qual. Reliab. Eng. Int., 2022

2021
Bayesian reliability estimation for the Topp-Leone distribution under progressively type-II censored samples.
Soft Comput., 2021

Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: An application in glass field.
Comput. Ind. Eng., 2021

2020
On mixed memory control charts based on auxiliary information for efficient process monitoring.
Qual. Reliab. Eng. Int., 2020

Mixture of transmuted Pareto distribution: Properties, applications and estimation under Bayesian framework.
J. Frankl. Inst., 2020

Mixture Modeling of Exponentiated Pareto Distribution in Bayesian Framework With Applications of Wind-Speed and Tensile Strength of Carbon Fiber.
IEEE Access, 2020

2019
Filter-Based Factor Selection Methods in Partial Least Squares Regression.
IEEE Access, 2019

2017
On estimation of two-component mixture inverse Lomax model via Bayesian approach.
Int. J. Syst. Assur. Eng. Manag., 2017

On selection of a suitable prior for the posterior analysis of censored mixture of Topp Leone distribution.
Commun. Stat. Simul. Comput., 2017

2012
Bayesian Estimation in the Proportional Hazards Model of Random Censorship under Asymmetric Loss Functions.
Data Sci. J., 2012


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