Phase I risk-adjusted Bernoulli chart in multistage healthcare processes based on the state-space model-Reference-Cited by-同舟云学术

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Phase I risk-adjusted Bernoulli chart in multistage healthcare processes based on the state-space model

Published:2020-09-23 Issue:3 Volume:91 Page:522-542
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Sogandi Fatemeh¹,Aminnayeri Majid²,Mohammadpour Adel³^ORCID,Amiri Amirhossein⁴^ORCID

Affiliation:

1. Industrial Engineering Department, Amirkabir University of Technology, Tehran, Iran

2. Industrial Engineering Department, Faculty of Engineering, Amirkabir University of Technology, Tehran, Iran

3. Department of Mathematics, Amirkabir University of Technology, Tehran, Iran

4. Industrial Engineering Department, Shahed University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2020.1820503

Reference36 articles.

1. A self-starting procedure for monitoring process quality in multistage manufacturing systems

2. False Discovery Rate-Adjusted Charting Schemes for Multistage Process Monitoring and Fault Identification

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1. Risk adjusted EWMA control chart based on support vector machine with application to cardiac surgery data;Scientific Reports;2024-04-26

2. Application of Poisson state-space models and shared frailty models for multistage processes surveillance;Quality Technology & Quantitative Management;2024-02-12

3. A new distribution-free scheme for simultaneous Phase-I analysis of four process aspects and its application in monitoring customers’ waiting times;Computers & Industrial Engineering;2023-05

4. Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance;Neural Computing and Applications;2023-02-13

5. Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time;Journal of Applied Statistics;2021-11-05

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