专题：Advanced Statistical Process Monitoring

This cluster of papers focuses on the application of statistical process control (SPC) in research and healthcare improvement. It covers topics such as control charts, multivariate monitoring, quality assurance, linear profiles, change-point detection, process capability indices, risk-adjusted charts, and profile monitoring in the context of healthcare and public health surveillance.
最新文献
Evaluating AUC estimators across complex sampling designs: insights from COVID-19 patient data

article Full Text OpenAlex

Optimization and Data Science in Industrial Engineering

book Full Text OpenAlex

Post-estimation Adjustments in Data-driven Decision-making with Applications in Pricing

preprint Full Text OpenAlex

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives

article Full Text OpenAlex

A Time-Varying Probabilistic Latent Variable Model for Process Monitoring with Missing Variables

article Full Text OpenAlex

Optimal Design of One-Sided Exponential Truncated EWMA Control Charts Based on Median Run Length

article Full Text OpenAlex

Incipient Fault Detection and Isolation for Complex Non-Stationary Industrial Processes

article Full Text OpenAlex

Failure Cause Analysis Under Progressive Type-II Censoring Using Generalized Linear Exponential Competing Risks Model with Medical and Industrial Applications

article Full Text OpenAlex

The robustified Liu-type estimator for low- and high-dimensional data

article Full Text OpenAlex

An estimator for isotonic regression with boundary consistency

article Full Text OpenAlex

近5年高被引文献
Statistics of Random Processes

book-chapter Full Text OpenAlex 2213 FWCI39.26

Introduction to statistical quality control

article Full Text OpenAlex 237 FWCI27.138

Machine learning and deep learning based predictive quality in manufacturing: a systematic review

review Full Text OpenAlex 200 FWCI7.64

Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation

article Full Text OpenAlex 193 FWCI23.589

Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing

article Full Text OpenAlex 173 FWCI17.656

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

article Full Text OpenAlex 170 FWCI28.514

The Exponentiated Generalized Class of Distributions

article Full Text OpenAlex 167 FWCI15.928

Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature review

article Full Text OpenAlex 152 FWCI21.235

Monitoring the coefficient of variation: A literature review

review Full Text OpenAlex 147 FWCI4.918

How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study

article Full Text OpenAlex 134 FWCI31.651