Course literature in Statistics

Practical Statistics for Environmental and Biological Scientists

Practical Statistics and Experimental Design for Plant and Crop Science

Practical Statistics for Field Biology

Measuring the Real World

Robustness Theory and Application

Explaining Psychological Statistics

Co-Clustering

The Biostatistics of Aging

Time Series Analysis

Simulation and the Monte Carlo Method

Applied Univariate, Bivariate, and Multivariate Statistics

Understanding Educational Statistics Using Microsoft Excel and SPSS

Analyzing Quantitative Data

Statistical Methods in Diagnostic Medicine

Statistical Methods for Rates and Proportions

Mathematical Methods in Survival Analysis, Reliability and Quality of Life

Structural Equations with Latent Variables

Fast Sequential Monte Carlo Methods for Counting and Optimization

Matrix Algebra for Linear Models

Introduction to Statistics Through Resampling Methods and R

Linear Models

Basic Statistical Tools for Improving Quality

Statistical Analysis of Designed Experiments

A Career in Statistics