Understanding Residual Standard Deviation: Key Concepts, Formula & Examples

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.
IEEE

Multivariate Monitoring Charts for Log-Binomial Regression

Abstract: The log-binomial regression model is an essential tool for performing relative risk regression to analyze binary outcomes. The Hotelling T2 Control Chart is an effective multivariate process ...
IEEE

Anomaly Detection on Interleaved Log Data With Semantic Association Mining on Log-Entity Graph

Abstract: Logs record crucial information about runtime status of software system, which can be utilized for anomaly detection and fault diagnosis. However, techniques struggle to perform effectively ...
Frontiers

The research on intelligent evaluation methods for non-sealing faults in reservoirs based on well test analysis

1 CNOOC International Limited, Beijing, China 2 College of Petroleum Engineering, China University of Petroleum, Beijing, China Based on the fault, fluid, and reservoir properties of the X reservoir, ...
GitHub

Semi-Supervised Graph Imbalanced Regression

This is the code for SGIR, a semi-supervised framework for Graph Imbalanced Regression. Data imbalance is easily found in annotated data when the observations of certain continuous label values are ...