books by subject
Mathematical Probability & Statistics
Multiple Regression in Practice
Theory and Applications of Correspondence Analysis
Analysis of Ordinal Categorical Data
Multilevel Modeling Using R
Optimal Experimental Design with R
Basic Math for Social Scientists: Concepts
Basic Math for Social Scientists: Problems and Solutions
Calculus
Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models
Ordinal Log-Linear Models
Multiple Comparisons
Analyzing Complex Survey Data
Pooled Time Series Analysis
Fundamental Research Statistics for the Behavioural Sciences
Analysis of Variance
Latent Class Analysis
Applied Regression: An Introduction
Log-Linear Models
Exploratory Data Analysis
Analysis of Covariance
Analysis of Nominal Data
Sorting Data: Collection and Analysis
Regression with Dummy Variables
Understanding Regression Assumptions
Nonparametric Measures of Association
Multiple Comparison Procedures
Odds Ratios in the Analysis of Contingency Tables
Multivariate Analysis of Variance
Multivariable Analysis: An Introduction
