Bibliografía en Statistics

Linear Models and the Relevant Distributions and Matrix Algebra

Mixed-Mode Official Surveys

Multivariate Analysis for the Behavioral Sciences, Second Edition

Randomization, Bootstrap and Monte Carlo Methods in Biology

Foundational and Applied Statistics for Biologists Using R

Statistics and Data Analysis for Microarrays Using R and Bioconductor

Analysis of Variance, Design, and Regression

Computer Intensive Methods in Statistics

Medical Statistics for Cancer Studies

Multiple Imputation of Missing Data in Practice

Sampling Strategies for Natural Resources and the Environment

Statistical and Probabilistic Methods in Actuarial Science

Introduction to Statistics for Biology

Statistical Thinking in Sports

Handbook of Graphical Models

Time Series

Building Your Career as a Statistician

Handbook of Spatial Epidemiology

Linear Regression Models

Simplified Business Statistics Using SPSS

Bringing Bayesian Models to Life

Mathematical Nonparametric Statistics

Statistical Thinking in Clinical Trials

Large Sample Methods in Statistics (1994)