Design of a t‐chart using generalized multiple dependent state sampling-Reference-Cited by-同舟云学术

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Design of a t‐chart using generalized multiple dependent state sampling

Published:2019-04-02 Issue:6 Volume:35 Page:1789-1802
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual Reliab Engng Int

Author:

Aslam Muhammad¹^ORCID,Raza Muhammad Ali²³,Ahmad Liaquat⁴,Jun Chi‐Hyuck⁵^ORCID

Affiliation:

1. Department of Statistics, Faculty of ScienceKing Abdulaziz University Jeddah Saudi Arabia

2. School of Mathematical SciencesShanghai Jiao Tong University Shanghai China

3. Department of StatisticsGovernment College University Faisalabad Faisalabad Pakistan

4. Department of Statistics and computer ScienceUniversity of Veterinary and Animal Sciences Lahore Pakistan

5. Department of Industrial and Management EngineeringPOSTECH Pohang Republic of Korea

Funder

Deanship of Scientific Research, King Faisal University

Ministry of SMEs and Startups

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2475

Reference44 articles.

1. Statistical Quality Control

2. Designing of a new monitoring t-chart using repetitive sampling

3. Control Charts Based on the Exponential Distribution: Adapting Runs Rules for thetChart

4. The Effect of Non-Normality on the Control Limits of X̄ Charts

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1. Modified DS <i>np</i> Chart Using Generalized Multiple Dependent State Sampling under Time Truncated Life Test;Computer Modeling in Engineering & Sciences;2024

2. Detecting Patterns of Infection-Induced Fertility Using Fermatean Neutrosophic Set With Similarity Analysis;IEEE Access;2023

3. Equivalences between multiple dependent state sampling, chain sampling, and control chart runs rules;Quality Engineering;2022-07-29

4. Side sensitive group runs t chart and its application in manufacturing;Communications in Statistics - Simulation and Computation;2021-07-25

5. Moving average control charts for the rayleigh and inverse rayleigh distributions under time truncated life test;Quality and Reliability Engineering International;2021-06

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