Models and monitoring of zero‐inflated processes: the past and current trends

T Mahmood, M **e - Quality and Reliability Engineering …, 2019 - Wiley Online Library
As product quality has increased rapidly in recent years, monitoring and control of products
have become more and more difficult. The items were produced with zero defects, and zero …

Recent progress in parameter change test for integer-valued time series models

S Lee, B Kim - Journal of the Korean Statistical Society, 2021 - Springer
In this study, we review a recent progress regarding the change point test for integer-valued
time series models, specifically concentrating on the CUSUM test for integer-valued …

Monitoring parameter change for time series models with application to location-scale heteroscedastic models

S Lee, CK Kim - Journal of Statistical Computation and Simulation, 2022 - Taylor & Francis
In this study, we consider an on-line monitoring procedure to detect a parameter change in
general time series models, featuring location-scale heteroscedastic time series models and …

Improved CUSUM monitoring of Markov counting process with frequent zeros

H Kim, S Lee - Quality and Reliability Engineering International, 2019 - Wiley Online Library
There has been a growing interest in monitoring processes featuring serial dependence and
zero inflation. The phenomenon of excessive zeros often occurs in count time series …

Monitoring of zero-inflated binomial processes with a DEWMA control chart

V Alevizakos, C Koukouvinos - Journal of Applied Statistics, 2021 - Taylor & Francis
Control charts are widely used for monitoring quality characteristics of high-yield processes.
In such processes where a large number of zero observations exists in count data, the zero …

Modeling and inference for counts time series based on zero-inflated exponential family INGARCH models

S Lee, D Kim, S Seok - Journal of Statistical Computation and …, 2021 - Taylor & Francis
This study considers statistical inferences such as parameter estimation and change tests for
counts time series models where the conditional density of present observations over past …

On Designing a New Control Chart Using the Generalized Conway–Maxwell–Poisson Distribution to Monitor Count Data

F Mustafa, RAK Sherwani, MA Raza, JA Darwish - Processes, 2024 - mdpi.com
Many researchers employed Poisson distribution-based control charts to monitor count data.
Nevertheless, these charts can handle count data that deviate from the Poisson assumption …

Monitoring parameter change for time series models of counts based on minimum density power divergence estimator

S Lee, D Kim - Entropy, 2020 - mdpi.com
In this study, we consider an online monitoring procedure to detect a parameter change for
integer-valued generalized autoregressive heteroscedastic (INGARCH) models whose …

Multiple values-inflated time series of counts: Modeling and inference based on INGARCH scheme

S Lee, D Kim - Journal of Statistical Computation and Simulation, 2023 - Taylor & Francis
In this study, we consider integer-valued autoregressive conditional heteroscedastic
(INGARCH) time series models of counts whose conditional density follows an multiple …

Cumulative sum control charts for monitoring geometrically inflated Poisson processes: An application to infectious disease counts data

AC Rakitzis, P Castagliola… - Statistical Methods in …, 2018 - journals.sagepub.com
In this work, we study upper-sided cumulative sum control charts that are suitable for
monitoring geometrically inflated Poisson processes. We assume that a process is properly …