Exponentially weighted moving average Lepage-type schemes based on the lower-order percentile of the run-length metrics and their use in monitoring time-occupancy in Google applications-Reference-Cited by-同舟云学术

Exponentially weighted moving average Lepage-type schemes based on the lower-order percentile of the run-length metrics and their use in monitoring time-occupancy in Google applications

Published:2023-01-16 Issue:5 Volume:20 Page:577-600
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Chan Kok Ming¹,Chong Zhi Lin²^ORCID,Mukherjee Amitava³^ORCID

Affiliation:

1. Faculty of Computing and Engineering, Quest International University, Ipoh, Perak, Malaysia

2. Department of Mathematical and Actuarial Sciences, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, Selangor, Malaysia

3. Production, Operations and Decision Sciences Area, XLRI – Xavier School of Management, Jamshedpur, Jharkhand, India

Funder

Ministry of Higher Education

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/16843703.2022.2132452

Reference46 articles.

1. Real-time monitoring of carbon monoxide using value-at-risk measure and control charting

2. Phase I Distribution-Free Analysis of Univariate Data

3. Nonparametric (distribution-free) control charts: An updated overview and some results

4. Distribution-free double exponentially and homogeneously weighted moving average Lepage schemes with an application in monitoring exit rate

5. Distribution-free Shewhart-Lepage type premier control schemes for simultaneous monitoring of location and scale

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