Математика
Sampling
Making Sense of Data I. A Practical Guide to Exploratory Data Analysis and Data Mining
Modeling and Simulation in the Medical and Health Sciences
Statistics for Spatio-Temporal Data
Nonparametric Statistics. A Step-by-Step Approach
Regression Analysis by Example
Small Area Estimation
Handbook of Probability
Lower Previsions
A Career in Statistics. Beyond the Numbers
Modeling and Simulation Fundamentals. Theoretical Underpinnings and Practical Domains
Green's Functions and Boundary Value Problems
Statistics and Probability with Applications for Engineers and Scientists
Mathematical Statistics with Resampling and R
Common Errors in Statistics (and How to Avoid Them)
Common Errors in Statistics (and How to Avoid Them)
Design and Analysis of Experiments in the Health Sciences
Introduction to the Explicit Finite Element Method for Nonlinear Transient Dynamics
Dynamical Systems Method and Applications. Theoretical Developments and Numerical Examples
Latent Class and Latent Transition Analysis. With Applications in the Social, Behavioral, and Health Sciences
Statistical and Machine Learning Approaches for Network Analysis
Statistical Pattern Recognition
Optimal Learning
Managerial Logic
Basic Statistics. A Primer for the Biomedical Sciences
Compositional Data Analysis. Theory and Applications
The Biostatistics of Aging. From Gompertzian Mortality to an Index of Aging-Relatedness
Dispersion Decay and Scattering Theory
Probabilistic Search for Tracking Targets. Theory and Modern Applications
Statistical and Managerial Techniques for Six Sigma Methodology. Theory and Application
An Elementary Introduction to Statistical Learning Theory
Methods of Multivariate Analysis
Modeling Online Auctions
Clustering
Spatio-temporal Design. Advances in Efficient Data Acquisition
Log-Linear Modeling. Concepts, Interpretation, and Application
Effective Experimentation. For Scientists and Technologists
Jet Single-Time Lagrange Geometry and Its Applications
Applied Data Mining for Business and Industry
A First Course in Probability and Markov Chains