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You are viewing titles for THE UNIVERSITY OF TEXAS AT ARLINGTON in the Statistics available through the UMI Dissertations & Thesis Gradwoorks site
 
Trajectory uncertainty analysis for the development of a queuing model for the national airspace system
A comparison of traditional and active learning methods: An empirical investigation utilizing a linear mixed model
 
Data mining-driven approaches for process monitoring and diagnosis
Functional data analysis for environmental and biomedical problems
 
Open main detection in underground distribution network using statistical approaches
Logistic regression with misclassified covariates using auxiliary data
 
Large deviation principle for functional limit theorems
Unsupervised data mining methods for functional data analysis and feature selection
 
Conditional confidence intervals of process capability indices following rejection of preliminary tests
Time dependent queuing models of the national airspace system