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A First Course in Stochastic Models
Robust Regression and Outlier Detection
Records
Visual Statistics
Sampling Statistics
Quantitative Methods in Population Health
Fundamentals of Probability and Statistics for Engineers
Constrained Statistical Inference
Topology and Its Applications
Graphs Theory and Applications
Principles of Modeling and Simulation
Regression Analysis by Example
Real Analysis
An Introduction to Optimization
Aspects of Statistical Inference
Sensitivity Analysis in Linear Regression
Hilbert Space Methods in Probability and Statistical Inference
Thinking About Equations
Classical Algebra
Biostatistical Methods
Comparative Statistical Inference
Shape and Shape Theory
Empirical Model Building
Advanced Calculus