The International Conference on Statistical Methods for Analyzing Engineering Data is a distinguished gathering that brings together experts, researchers, and professionals from the realms of engineering and statistics.
Linear and Nonlinear Regression Models
Explore the application of both linear and nonlinear regression models in engineering data analysis, focusing on modeling relationships between variables and making accurate predictions.
Multivariate Regression Analysis
Investigate advanced techniques for analyzing multiple dependent variables simultaneously, allowing for a comprehensive understanding of complex engineering systems.
Time Series Regression Analysis
Discuss the use of regression models in analyzing time-dependent data, emphasizing their role in forecasting and understanding temporal patterns in engineering processes.
Robust Regression Methods
Examine robust regression techniques that can effectively handle outliers and influential data points in engineering datasets, ensuring the reliability of regression analysis.
Bayesian Regression in Engineering
Explore the integration of Bayesian statistical methods in regression analysis within engineering contexts, offering a framework for incorporating prior information and quantifying uncertainty.