Muhammad Abid

Orcid: 0000-0001-9998-9960

Affiliations:
  • Government College University, Department of Statistics, Faisalabad, Pakistan
  • Zhejiang University, Department of Mathematics, Institute of Statistics, Hangzhou, China


According to our database1, Muhammad Abid authored at least 25 papers between 2017 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A Machine Learning Approach to Adaptive EWMA Control Charts: Insights From Cardiac Surgery Data.
Qual. Reliab. Eng. Int., 2025

On Monitoring of the Shape Parameter of the Inverse Gaussian Distribution via Memoryless Chart Under Bayesian Setup.
IEEE Access, 2025

2024
On monitoring the standard deviation of log-normal process.
Qual. Reliab. Eng. Int., July, 2024

A new adaptive CUSUM control chart based on Hampel function to monitor location parameter.
Qual. Reliab. Eng. Int., April, 2024

2023
An efficient nonparametric double progressive mean chart for monitoring of the process location.
Commun. Stat. Simul. Comput., June, 2023

2022
On designing efficient sequential schemes to monitor non-normal processes.
Qual. Reliab. Eng. Int., 2022

On developing robust adaptive approaches for monitoring location of non-normal environments.
Qual. Reliab. Eng. Int., 2022

Design and analysis of exponentially weighted moving average control charts for monitoring the variability of log-normal processes with estimated parameters.
Qual. Reliab. Eng. Int., 2022

On enhanced exponential-cum-ratio estimators using robust measures of location.
Concurr. Comput. Pract. Exp., 2022

2021
On the Development of Triple Homogeneously Weighted Moving Average Control Chart.
Symmetry, 2021

A non-parametric double homogeneously weighted moving average control chart under sign statistic.
Qual. Reliab. Eng. Int., 2021

An enhanced approach for the progressive mean control charts: A discussion and comparative analysis.
Qual. Reliab. Eng. Int., 2021

On increasing the sensitivity of moving average control chart using auxiliary variable.
Qual. Reliab. Eng. Int., 2021

A mixed cumulative sum homogeneously weighted moving average control chart for monitoring process mean.
Qual. Reliab. Eng. Int., 2021

A mixed HWMA-CUSUM mean chart with an application to manufacturing process.
Qual. Reliab. Eng. Int., 2021

2020
Enhanced nonparametric control charts under simple and ranked set sampling schemes.
Trans. Inst. Meas. Control, 2020

A double homogeneously weighted moving average control chart for monitoring of the process mean.
Qual. Reliab. Eng. Int., 2020

New efficient exponentially weighted moving average variability charts based on auxiliary information.
Qual. Reliab. Eng. Int., 2020

On developing an exponentially weighted moving average chart under progressive setup: An efficient approach to manufacturing processes.
Qual. Reliab. Eng. Int., 2020

On designing a progressive mean chart for efficient monitoring of process location.
Qual. Reliab. Eng. Int., 2020

On designing an efficient control chart to monitor fraction nonconforming.
Qual. Reliab. Eng. Int., 2020

2019
An enhanced approach for the progressive mean control charts.
Qual. Reliab. Eng. Int., 2019

2018
In-control robustness comparison of different control charts.
Trans. Inst. Meas. Control, 2018

2017
An Efficient Nonparametric EWMA Wilcoxon Signed-Rank Chart for Monitoring Location.
Qual. Reliab. Eng. Int., 2017

Investigating the Impact of Ranked Set Sampling in Nonparametric CUSUM Control Charts.
Qual. Reliab. Eng. Int., 2017


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