[PDF][PDF] Multiple Dependent States Repetitive Sampling Control Chart for Monitoring Rayleigh Distributed Data

G Srinivasa Rao, AA Olatunde - Journal of Industrial Engineering …, 2022 - journals.iau.ir
An attribute control chart for Rayleigh distribution based on the multiple dependent state
repetitive sampling (MDSRS) is developed in this paper. The performance of the proposed …

Performance of Some Confidence Intervals for Estimating the Population Mean Under Contaminated Normal Distribution

MOA Abu-Shawiesh, J Sinsomboonthong… - Industrial Engineering …, 2023 - dbpia.co.kr
This paper considers nine promising confidence interval estimators for estimating the
population mean when the data are contaminated. A simulation study has been conducted …

Process monitoring using successive sampling and a repetitive scheme

A Arshad, M Azam, M Aslam, CH Jun - Industrial Engineering & …, 2018 - dbpia.co.kr
We propose a repetitive sampling based variable control chart to monitor the process mean
by using successive sampling over two occasions. It is assumed that an auxiliary variable is …

Monitoring Betaine Using Interval Time Between Events Control Chart

M Saleem, N Khan, M Aslam - Frontiers in Nutrition, 2022 - frontiersin.org
A generalization of moving average (MA) control chart for the exponential distribution under
classical statistics is presented in this article. The designing of the MA control chart for the …

On the conditional performance of the synthetic chart with unknown process parameters using the exceedance probability criterion

XL Hu, AA Tang, YL Qiao, JS Sun, BC Guo - Plos one, 2020 - journals.plos.org
Recent researches on the control charts with unknown process parameters have noticed the
large variability in the conditional in-control average run length (ARL) performance of control …

An attribute control chart using discriminant limits for monitoring process under the Weibull distribution

M Azam, L Ahmad, M Aslam, CH Jun - Production Engineering, 2018 - Springer
A new efficient process monitoring scheme has been developed for a process under which
the quality characteristic follows the Weibull distribution. Recently control charts using …

A New Universal Exponentially Weighted Moving Average Control Chart for Quality Monitoring

J Chen, Z Wang, S Fan - Proceedings of the 2024 6th International …, 2024 - dl.acm.org
In order to effectively improve the monitoring performance of quality control charts for
process offsets of different magnitudes (small, medium and large), a Universal Exponentially …

[PDF][PDF] Estimating the population mean under contaminated normal distribution based on deciles

MOA Abu-Shawiesh, J Sinsomboonthong, N Saeed… - 2022 - scholar.archive.org
Confidence intervals are important statistical methods used to estimate the location and
dispersion parameters of the population. A new robust interval estimator, which is an …

[HTML][HTML] DESIGNING OF PHASE II ARL-UNBIASED 𝑆²-CHART WITH IMPROVED PERFORMANCE USING REPETITIVE SAMPLING

S Jaiswal, N Kumar - Reliability: Theory & Applications, 2023 - cyberleninka.ru
In this paper, we consider a two-sided Phase II S²-chart with probability limits because the
surveillance of both an increase and decrease in the process variance plays a decisive role …

t-Chart Using Modified Multiple Dependent State

AO Albazli - 2023 - platform.almanhal.com
For monitoring systems that assume time between events following exponential and gamma
distributions, t-control charts are developed based on modified multiple dependent state …