Jiujun Zhang

Orcid: 0000-0003-1883-3855

According to our database1, Jiujun Zhang authored at least 26 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Two Bayesian approaches of monitoring mean of Gaussian process using Bayes factor.
Qual. Reliab. Eng. Int., October, 2024

Combined Shewhart-EWMA and Shewhart-CUSUM monitoring schemes for time between events.
Qual. Reliab. Eng. Int., October, 2024

Weighted-Likelihood-Ratio-Based EWMA Schemes for Monitoring Geometric Distributions.
Axioms, June, 2024

The Measurement Errors and Their Effects on the Cumulative Sum Schemes for Monitoring the Ratio of Two Correlated Normal Variables.
Axioms, June, 2024

Evaluation of different DEWMA schemes for monitoring the ratio of two normal random variables.
J. Comput. Appl. Math., 2024

Phase II control chart for monitoring Gumbel's bivariate exponential distribution.
Comput. Ind. Eng., 2024

2023
Monitoring the Weibull Scale Parameter Based on Type I Censored Data Using a Modified EWMA Control Chart.
Axioms, May, 2023

2022
Performance of the Shiryaev-Roberts-type scheme in comparison to the CUSUM and EWMA schemes in monitoring weibull scale parameter based on Type I censored data.
Qual. Reliab. Eng. Int., 2022

Comparisons of some memory-type control chart for monitoring Weibull-distributed time between events and some new results.
Qual. Reliab. Eng. Int., 2022

2021
A class of new nonparametric circular-grid charts for signal classification.
Qual. Reliab. Eng. Int., 2021

A progressive approach for the detection of the coefficient of variation.
Qual. Reliab. Eng. Int., 2021

Phase-II monitoring of exponentially distributed process based on Type-II censored data for a possible shift in location-scale.
J. Comput. Appl. Math., 2021

Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment.
Eur. J. Oper. Res., 2021

2019
Optimizing joint location-scale monitoring - An adaptive distribution-free approach with minimal loss of information.
Eur. J. Oper. Res., 2019

2018
Control chart for monitoring the coefficient of variation with an exponentially weighted moving average procedure.
Qual. Reliab. Eng. Int., 2018

A comparative study of memory-type control charts based on robust scale estimators.
Qual. Reliab. Eng. Int., 2018

2017
Likelihood ratio test-based chart for monitoring the process variability.
Commun. Stat. Simul. Comput., 2017

A Cramér-von Mises test-based distribution-free control chart for joint monitoring of location and scale.
Comput. Ind. Eng., 2017

2016
An Adaptive Shiryaev-Roberts Procedure for Signalling Varying Location Shifts.
Commun. Stat. Simul. Comput., 2016

2014
A new exponentially weighted moving average control chart for monitoring the coefficient of variation.
Comput. Ind. Eng., 2014

2013
CUSUM Procedures for Monitoring Process Mean and Variability.
Commun. Stat. Simul. Comput., 2013

2011
A New Chart for Detecting the Process Mean and Variability.
Commun. Stat. Simul. Comput., 2011

An adaptive Shiryaev-Roberts procedure for monitoring dispersion.
Comput. Ind. Eng., 2011

2010
A control chart based on likelihood ratio test for monitoring process mean and variability.
Qual. Reliab. Eng. Int., 2010

A multivariate control chart for simultaneously monitoring process mean and variability.
Comput. Stat. Data Anal., 2010

2009
Control chart based on likelihood ratio for monitoring linear profiles.
Comput. Stat. Data Anal., 2009


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