Cover Image

Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Parakulum, Gokul, Li, Jun
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance
by: Gokul Parakulum, et al.
Published: (2026)

Adaptive CUSUM Chart for Real-Time Monitoring of Bivariate Event Data
by: Parakulum, Gokul, et al.
Published: (2025)

On GEE for Mean-Variance-Correlation Models: Variance Estimation and Model Selection
by: Xu, Zhenyu, et al.
Published: (2024)

A New Adaptive CUSUM Mean Chart
by: Abdul Haq
Published: (2026)

Consistent and powerful CUSUM change-point test for panel data with changes in variance
by: Yang, Wenzhi, et al.
Published: (2026)

Variance Estimation with Dependence and Heterogeneous Means
by: Yap, Luther
Published: (2026)

Sufficient Dimension Reduction via Inverse Conditional Mean or Variance Independence
by: Liu, Jicai, et al.
Published: (2026)

Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing
by: Mosaferi, Sepideh, et al.
Published: (2026)

A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
by: Muritala, Faruk, et al.
Published: (2026)

An Adaptive Multivariate Functional Control Chart
by: Centofanti, Fabio, et al.
Published: (2025)

Neural network-based CUSUM for online change-point detection
by: Gong, Tingnan, et al.
Published: (2022)

Online Kernel CUSUM for Change-Point Detection
by: Wei, Song, et al.
Published: (2022)

On Designing CUSUM and Adaptive CUSUM Charts for Monitoring Scale Parameter of Birnbaum–Saunders Distribution
by: Laiba Khan, et al.
Published: (2025)

An Adaptive Multivariate Functional EWMA Control Chart
by: Capezza, Christian, et al.
Published: (2024)

Conformalized Method for Empirical Bayes Normal Mean Inference Problem with Heteroscedastic Variance
by: Seo, Kwangok, et al.
Published: (2026)

Multi-Scale CUSUM Tests for Time Dependent Spherical Random Fields
by: Caponera, Alessia, et al.
Published: (2023)

Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
by: Matabuena, Marcos, et al.
Published: (2024)

Varadhan Functions, Variances, and Means on Compact Riemannian Manifolds
by: Cao, Yueqi
Published: (2026)

Adaptive Risk‐Adjusted Weighted CUSUM Chart for Monitoring Surgical Performance
by: Longhui Li, et al.
Published: (2024)

Trend and Variance Adaptive Bayesian Changepoint Analysis & Local Outlier Scoring
by: Wu, Haoxuan, et al.
Published: (2020)

Smoothing Variances Across Time: Adaptive Stochastic Volatility
by: Cho, Jason B., et al.
Published: (2024)

Mean Estimation in Banach Spaces Under Infinite Variance and Martingale Dependence
by: Whitehouse, Justin, et al.
Published: (2024)

High-Dimensional Mean-Variance Spanning Tests
by: Ardia, David, et al.
Published: (2024)

Bayesian Time-Varying Meta-Analysis via Hierarchical Mean-Variance Random-effects Models
by: Kubota, Kohsuke, et al.
Published: (2025)

Adaptive Rank-based Tests for High Dimensional Mean Problems
by: Zhang, Yu, et al.
Published: (2023)

Gradient Boosted Mixed Models: Flexible Joint Estimation of Mean and Variance Components for Clustered Data
by: Prevett, Mitchell L., et al.
Published: (2025)

Stein EWMA Control Charts for Count Processes
by: Weiß, Christian H.
Published: (2024)

Evaluating Variance Estimates with Relative Efficiency
by: Karhadkar, Kedar, et al.
Published: (2025)

Variance Reduction Methods for Dirichlet Expectations
by: Lee, Ayeong
Published: (2026)

On the Monitoring of BINARCH(1) Processes with CUSUM‐Type Charts
by: Maria Anastasopoulou, et al.
Published: (2025)

Robust Multivariate Functional Control Chart
by: Capezza, Christian, et al.
Published: (2022)

Functional Mixture Regression Control Chart
by: Capezza, Christian, et al.
Published: (2024)

Distribution-Free Control Charts Based on Runs and Patterns
by: Wu, Tung-Lung
Published: (2018)

Adaptive Long-Run Variance Thresholding for Sparse Covariance Estimation in High-Dimensional Time Series
by: Zhang, Wenhao, et al.
Published: (2026)

Causal Variance Decompositions for Measuring Health Inequalities
by: Yu, Lin, et al.
Published: (2025)

Maximum-Variance-Reduction Stratification for Improved Subsampling
by: Wang, Dingyi, et al.
Published: (2026)

Automatic Variance Adjustment for Small Area Estimation
by: Wakefield, Jon, et al.
Published: (2026)

Self-Normalization for CUSUM-based Change Detection in Locally Stationary Time Series
by: Heinrichs, Florian
Published: (2025)

A Model-Based Approach to Shot Charts Estimation in Basketball
by: Scrucca, Luca, et al.
Published: (2024)

Advancing Portfolio Optimization: Adaptive Minimum-Variance Portfolios and Minimum Risk Rate Frameworks
by: Jha, Ayush, et al.
Published: (2025)