Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data-Reference-Cited by-同舟云学术

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Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data

Published:2023-09-11 Issue: Volume: Page:1-19
ISSN:0898-2112
Container-title:Quality Engineering
language:en
Short-container-title:Quality Engineering

Author:

Nascimento Diego C.¹,Gonzatto Junior Oilson A.²,Elal-Olivero David¹,Bonnail Estefania³,Ferreira Paulo H.⁴

Affiliation:

1. Departamento de Matemática, Facultad de Ingeniería, Universidad de Atacama, Copiapó, Chile

2. Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, Brazil

3. Coastal Research Center, Universidad de Atacama, Copiapó, Chile

4. Department of Statistics, Federal University of Bahia, Salvador, Brazil

Funder

Universidad de Atacama

Vicerrectoría de Investigación y Postgrado (VRIP) and Dirección de Postgrado of the Universidad de Atacama

DIUDA REGULAR

Brazilian National Council for Scientific and Technological Development

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/08982112.2023.2254843

Reference57 articles.

1. Akaike, H. 1977. On entropy maximization principle. In Applications of Statistics, ed. P. R. Krishnaiah, 27–41. Amsterdam: North-Holland.

2. SimBetaReg Web-Tool: The Easiest Way to Implement the Beta and Simplex Regression Models

3. Effects of autocorrelation on control chart performance

4. Time-Series Modeling for Statistical Process Control

5. The Problem of Misplaced Control Limits

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