Bibliografía en Statistics

Sojourns And Extremes of Stochastic Processes

The Theory of Stochastic Processes

Uncertainty, Calibration and Probability

Understanding Randomness

Optimal Experimental Design with R

Multivariate Generalized Linear Mixed Models Using R

Introduction to Statistical Limit Theory

Smoothing Splines

Spatial Statistics

Financial and Actuarial Statistics

Statistical Methods in Drug Combination Studies

Past, Present, and Future of Statistical Science

Mathematical Statistics for Applied Econometrics

Basic Statistics and Pharmaceutical Statistical Applications

SAS and R

Bayesian Methods

Multiple Factor Analysis by Example Using R

Statistics in MATLAB

Statistics in Action

Clinical Trial Biostatistics and Biopharmaceutical Applications

A Handbook of Statistical Analyses using R

Dependence Modeling with Copulas

Design and Analysis of Experiments with R

Mixed Effects Models for the Population Approach