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  1. Control Charts

    In the subject of statistical quality controlStatistical quality control, the word control bears a special technical meaning. A manufacturing process...
    Chapter 2024
  2. Control charts for monitoring the median in non-negative asymmetric data

    Control charts are commonly used for monitoring the mean of processes. However, there are practical applications in which asymmetric data are the...

    Lucas O. F. Sales, André L. S. Pinho, ... F. Moisés C. Medeiros in Statistical Methods & Applications
    Article 25 February 2022
  3. Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity

    Monitoring profiles with count responses is a common situation in industrial processes and for a count distributed process, the...

    Ulduz Mammadova, M. Revan Ă–zkale in Statistical Papers
    Article 15 February 2023
  4. Quantile-based control charts for poisson and gamma distributed data

    In terms of statistical process control (SPC), the probability distributions of the quality characteristics are critical in detecting changes in the...

    Article 12 March 2021
  5. Economic Statistical Design for Three-level Control Charts with Variable Sample Size

    The problem of Statistical Process Control with some discrete level classification scheme, have been recently discussed by some authors. This paper...

    Reza Pourtaheri in Sankhya B
    Article 25 March 2021
  6. Basic Tools and Principles of Process Control

    Competitive pressures are forcing many management teams to focus on process control and process improvement, as an alternative to screening and...
    Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck in Industrial Statistics
    Chapter 2023
  7. Process Control

    Statistical control is explained. Control charts are described as a method of deciding whether a process is in statistical control or not. Designed...
    Chapter 2023
  8. Markovchart: an R package for cost-optimal patient monitoring and treatment using control charts

    Control charts originate from industrial statistics, but are constantly seeing new areas of application, for example in health care (Thor et al. in...

    Balázs Dobi, András Zempléni in Computational Statistics
    Article Open access 27 December 2021
  9. The exponentiated exponentially weighted moving average control chart

    Memory-type control charts are widely used for monitoring small to moderate shifts in the process parameter(s). In the present article, we present an...

    Vasileios Alevizakos, Arpita Chatterjee, ... Christos Koukouvinos in Statistical Papers
    Article Open access 03 April 2024
  10. Designing robust modified R control charts for asymmetric distributions under ranked set and median ranked set sampling

    Presence of outliers or contamination in the process control affect the construction of quality control limits badly. Therefore, more attention is to...

    Nursel Koyuncu, Derya Karagöz in Computational Statistics
    Article 05 January 2021
  11. Statistical Quality Control: Acceptance Sampling Plans in the Light of Fuzzy Mathematics

    Statistical quality control is a productivity enhancing and regulatory technique with three factors––Management, Methods and Mathematics. More...

    Article Open access 22 July 2023
  12. Economic design of memory-type control charts: The fallacy of the formula proposed by Lorenzen and Vance (1986)

    Memory-type statistical control charts, such as exponentially weighted moving average (EWMA) and cumulative sum (CUSUM), are broadly-used statistical...

    Amir Ahmadi-Javid, Mohsen Ebadi in Computational Statistics
    Article 17 September 2020
  13. Advanced Methods of Statistical Process Control

    Following Chap. 2 , we present in this chapter more advanced methods of statistical process control. We...
    Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck in Industrial Statistics
    Chapter 2023
  14. Utilizing Repetitive Sampling in the Construction of a Control Chart for Lindley Distribution with Time Truncation

    The monitoring of the process relies on the average product lifetime, which adheres to the Lindley distribution and employs a truncated life...

    G. V. Sriramachandran, Srinivasa Rao Gadde, Muhammad Aslam in Journal of Statistical Theory and Applications
    Article Open access 03 June 2024
  15. Pareto Distribution-Based Shewhart Control Chart for Early Detection of Process Mean Shifts

    The Pareto distribution is of paramount importance in actuarial science, wealth distribution, finance, etc. This paper introduces a control chart...

    Aamir Saghir, Gadde Srinivasa Rao, ... Azhar Ali Janjua in Journal of Statistical Theory and Applications
    Article Open access 19 February 2024
  16. A Robust Bootstrap Control Chart for the Log-Logistic Percentiles

    In this paper, we develop a robust bootstrap control chart for the problems of detecting a shift in the percentile of the log-logistic population in...

    Zhuanzhuan Ma, Chanseok Park, Min Wang in Journal of Statistical Theory and Practice
    Article 11 January 2022
  17. Quality Assurance in Digital-First Assessments

    Computational psychometrics, a blend of theory-driven psychometrics and data-driven algorithms, provides the theoretical underpinnings for the design...
    Manqian Liao, Yigal Attali, ... J. R. Lockwood in Quantitative Psychology
    Conference paper 2022
  18. MAV Control Charts for Monitoring Two-State Processes Using Indirectly Observed Binary Data

    Processes described by indirectly observed data naturally arise in applications, such as telehealth systems. The available data can be used to...
    Olgierd Hryniewicz, Katarzyna Kaczmarek-Majer, Karol R. Opara in Frontiers in Statistical Quality Control 13
    Conference paper 2021
  19. On the Calculation of the ARL for Beta EWMA Control Charts

    Accurate calculation of the Average Run Length (ARL) for exponentially weighted moving average (EWMA) charts might be a tedious task. The omnipresent...
    Conference paper 2021
  20. Multivariate Statistical Process Control

    As was discussed in Chap. 4 in Modern Statistics (Kenett et al. (Modern statistics: a computer-based...
    Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck in Industrial Statistics
    Chapter 2023
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