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