Literatura kursowa z Statistics

Optimal Experimental Design with R

Statistics by Simulation

Analysis of Binary Data

Simple Statistical Methods for Software Engineering

Statistical Optimization of Biological Systems

Bayesian Methods for Repeated Measures

Statistical Methods in Psychiatry and Related Fields

R Primer

What Makes Variables Random

Uncertainty, Calibration and Probability

Randomised Response-Adaptive Designs in Clinical Trials

Mixture Model-Based Classification

Statistical Reasoning for Surgeons

Basic Statistical Methods and Models for the Sciences

Statistical Methods for Environmental and Agricultural Sciences

Reliability Analysis with Minitab

Sense and Nonsense of Statistical Inference

Seemingly Unrelated Regression Equations Models

Inspection Errors for Attributes in Quality Control

Subjective Probability Models for Lifetimes

Statistics in the 21st Century

Nonparametric Statistical Methods For Complete and Censored Data

Statistics and Data Analysis for Financial Engineering

Model Selection and Multimodel Inference