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Математика
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Neural-Based Orthogonal Data Fitting. The EXIN Neural Networks
The Topology of Chaos. Alice in Stretch and Squeezeland
Advances in Statistical Monitoring of Complex Multivariate Processes. With Applications in Industrial Process Control
Statistics for Earth and Environmental Scientists
Spatial Analysis Along Networks. Statistical and Computational Methods
Design and Analysis of Clinical Trials. Concepts and Methodologies
Understanding and Applying Research Design
Basic and Advanced Bayesian Structural Equation Modeling. With Applications in the Medical and Behavioral Sciences
A First Course in Probability and Markov Chains
Applied Data Mining for Business and Industry
Jet Single-Time Lagrange Geometry and Its Applications
Effective Experimentation. For Scientists and Technologists
Log-Linear Modeling. Concepts, Interpretation, and Application
Spatio-temporal Design. Advances in Efficient Data Acquisition
Clustering
Modeling Online Auctions
Methods of Multivariate Analysis
An Elementary Introduction to Statistical Learning Theory
Statistical and Managerial Techniques for Six Sigma Methodology. Theory and Application
Probabilistic Search for Tracking Targets. Theory and Modern Applications
Dispersion Decay and Scattering Theory
The Biostatistics of Aging. From Gompertzian Mortality to an Index of Aging-Relatedness
Compositional Data Analysis. Theory and Applications
Basic Statistics. A Primer for the Biomedical Sciences
Managerial Logic
Optimal Learning
Statistical Pattern Recognition
Statistical and Machine Learning Approaches for Network Analysis
Latent Class and Latent Transition Analysis. With Applications in the Social, Behavioral, and Health Sciences
Dynamical Systems Method and Applications. Theoretical Developments and Numerical Examples
Introduction to the Explicit Finite Element Method for Nonlinear Transient Dynamics
Design and Analysis of Experiments in the Health Sciences
Common Errors in Statistics (and How to Avoid Them)
Mathematical Statistics with Resampling and R
Statistics and Probability with Applications for Engineers and Scientists
Green's Functions and Boundary Value Problems
Modeling and Simulation Fundamentals. Theoretical Underpinnings and Practical Domains
A Career in Statistics. Beyond the Numbers
