Markov Processes and Applications: Algorithms, Networks, Genome and Finance

Multiple Time Series

Design and Analysis of Experiments, Volume 3: Special Designs and Applications

Decision Theory: Principles and Approaches

Simulation Solution Manual (Part I)

Models for Investors in Real World Markets

Robust Methods in Biostatistics

Statistics For Dummies: Edition 2

Optimal Learning

Approximate Dynamic Programming: Solving the Curses of Dimensionality, Edition 2

Mixed Models: Theory and Applications with R, Edition 2

Bayesian Analysis for the Social Sciences

An Elementary Introduction to Statistical Learning Theory

A Primer on Experiments with Mixtures

Dynamic Linear Models with R

Batch Effects and Noise in Microarray Experiments: Sources and Solutions

Data Analysis: What Can Be Learned From the Past 50 Years