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