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
K-Alpha Calculator–Krippendorff's Alpha Calculator: A user-friendly tool for computing Krippendorff's Alpha inter-rater reliability coefficient

article Full Text OpenAlex

Machine Learning Algorithms for Quality Control Problem

book-chapter Full Text OpenAlex

Robust Bayesian target vector optimization for multi-stage manufacturing processes

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Real-Time Statistical Process Monitoring

book-chapter Full Text OpenAlex

Machine learning techniques for sustainable industrial process control

book-chapter Full Text OpenAlex

Developing a stage-independent multiple sampling plan with loss-based capability index for lot disposition

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Bayesian Parameter Estimation for Geometric Process with Rayleigh Distribution

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Unified Robust Boosting

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Pointwise profile monitoring considering covariates based on Gaussian process

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Statistical Inferences about Parameters of the Pseudo Lindley Distribution with Acceptance Sampling Plans

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近5年高被引文献
Statistics of Random Processes

book-chapter Full Text OpenAlex 2084 FWCI37.94409948

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

review Full Text OpenAlex 248 FWCI39.16524628

Introduction to statistical quality control

article Full Text OpenAlex 245 FWCI30.67182046

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

article Full Text OpenAlex 230 FWCI44.64213103

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

article Full Text OpenAlex 214 FWCI21.19360718

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

article Full Text OpenAlex 207 FWCI35.86041793

Monitoring the coefficient of variation: A literature review

review Full Text OpenAlex 188 FWCI8.94267851

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 183 FWCI27.16856926

The Exponentiated Generalized Class of Distributions

article Full Text OpenAlex 171 FWCI26.39259923

Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence

article Full Text OpenAlex 162 FWCI24.1830122