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Monitoring aggregate warranty claims with dynamically designed CUSUM and EWMA charts
14 references·1 citing·36 second hop
Monitoring aggregate warranty claims with dynamically designed CUSUM and EWMA charts (2023)Monitoring aggregate warranty claims with…Introduction to statistical quality control (2021)Introduction to statistical q…Controlling the conditional false alarm rate for the MEWMA control chart (2021)Controlling the conditional f…Change-point detection in Phase I for autocorrelated Poisson profiles with random or unbalanced designs (2020)Change-point detection in Pha…Risk-adjusted Bernoulli chart in multi-stage healthcare processes based on state-space model with a latent risk variable and dynamic probability control limits (2019)Risk-adjusted Bernoulli chart…On dynamically monitoring aggregate warranty claims for early detection of reliability problems (2019)On dynamically monitoring agg…Nonparametric Change-Point Detection for Profiles with Binary Data (2017)Nonparametric Change-Point De…CUSUM procedures with probability control limits for monitoring processes with variable sample sizes (2016)CUSUM procedures with probabi…Self-Starting Monitoring Scheme for Poisson Count Data With Varying Population Sizes (2015)Self-Starting Monitoring Sche…Monitoring poisson count data with probability control limits when sample sizes are time varying (2013)Monitoring poisson count data…Monitoring Warranty Claims With Cusums (2012)Monitoring Warranty Claims Wi…Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes (2012)Likelihood-Based EWMA Charts …Weighted CUSUM Control Charts for Monitoring Poisson Processes with Varying Sample Sizes (2011)Weighted CUSUM Control Charts…Control Charts for Poisson Count Data with Varying Sample Sizes (2010)Control Charts for Poisson Co…Introduction to Statistical Quality Control (2007)Introduction to Statistical Q…Dynamic monitoring of polynomial profiles with attribute responses and between-profile correlation (2023)Dynamic monitoring of polynom…Optimal Stopping Times for Detecting Changes in Distributions (1986)Cumulative Sum Charts and Charting for Quality Improvement (1998)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Detection of Abrupt Changes in Count Data Time Series: Cumulative Sum Derivations for INARCH(1) Models (2012)Control Charts for Dispersed Count Data: An Overview (2014)An Approach to the Probability Distribution of Cusum Run Length (1972)Introduction to Statistical Quality Control (1992)Dynamic probability control limits for risk-adjusted Bernoulli CUSUM charts (2015)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Phase II monitoring of generalized linear profiles using weighted likelihood ratio charts (2016)CONTINUOUS INSPECTION SCHEMES (1954)Hypergeometric p-chart with dynamic probability control limits for monitoring processes with variable sample and population sizes (2019)Monitoring data quality for telehealth systems in the presence of missing data (2019)Geographically weighted Poisson regression for disease association mapping (2005)Some simultaneous progressive monitoring schemes for the two parameters of a zero-inflated Poisson process under unknown shifts (2019)Control charts in healthcare quality monitoring: a systematic review and bibliometric analysis (2024)Monitoring surgical performance using risk-adjusted cumulative sum charts (2000)Profile monitoring for a binary response (2009)Assessing the effect of estimation error on risk-adjusted CUSUM chart performance (2011)A risk-adjusted EWMA chart with dynamic probability control limits for monitoring survival time (2019)Weighted Score test based EWMA control charts for Zero-Inflated Poisson Models (2020)Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance (2023)Current research on profile monitoring (2007)Nonparametric Profile Monitoring by Mixed Effects Modeling (2010)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)Empirical likelihood ratio charts for profiles with attribute data and random predictors in the presence of within‐profile correlation (2021)Monitoring simple linear profiles in the presence of within‐ and between‐profile autocorrelation (2023)Self-starting monitoring schemes for small-sample poisson profiles based on transfer learning (2024)Surveillance of Nonhomogeneous Poisson Processes (2014)Poisson progressive mean control chart (2017)An Overview of Six Sigma (2008)A Review and Perspective on Control Charting with Image Data (2011)What is Quality? An Integrative Framework of Processes and States (2012)Adaptive Control Charts: Recent Developments and Extensions (2015)A network surveillance approach using machine learning based control charts (2023)The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT (2023)
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  • 2021Introduction to statistical quality control252 cited
  • 2012Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes88 cited
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  • 2010Control Charts for Poisson Count Data with Varying Sample Sizes69 cited
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  • 2015Self-Starting Monitoring Scheme for Poisson Count Data With Varying Population Sizes29 cited
  • 2016CUSUM procedures with probability control limits for monitoring processes with variable sample sizes27 cited
  • 2019Risk-adjusted Bernoulli chart in multi-stage healthcare processes based on state-space model with a latent risk variable and dynamic probability control limits25 cited
  • 2020Change-point detection in Phase I for autocorrelated Poisson profiles with random or unbalanced designs23 cited
  • 2021Controlling the conditional false alarm rate for the MEWMA control chart23 cited
  • 2012Monitoring Warranty Claims With Cusums20 cited
  • 2017Nonparametric Change-Point Detection for Profiles with Binary Data15 cited
  • 2019On dynamically monitoring aggregate warranty claims for early detection of reliability problems

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  • 2023Dynamic monitoring of polynomial profiles with attribute responses and between-profile correlation11 cited