Categorical and Nonparametric Data Analysis 2nd Edition

Categorical and Nonparametric Data Analysis, 2nd Edition by E. Michael Nussbaum is a clear, authoritative resource that brings rigorous statistical thinking to real-world categorical and distribution-free problems. Whether you are a graduate student, applied researcher, or practicing statistician, this updated edition delivers practical methods and intuitive explanations for analyzing discrete outcomes and nonparametric relationships.

Begin with a confident foundation: compact introductions to contingency tables, chi-square procedures, exact tests and asymptotic theory lead naturally into modern tools for binary and multinomial responses. The text balances theory and application—rank-based tests, permutation techniques, and robust nonparametric estimators are presented with clarity and examples that connect to epidemiology, social science surveys, clinical trials, and public policy studies across the United States, Europe, Asia and beyond.

Readers will appreciate the book’s emphasis on interpretability and reproducibility: worked examples show how to translate statistical output into actionable conclusions, while methodological discussions highlight assumptions, limitations, and best-practice diagnostics. Nussbaum’s approachable voice makes complex ideas accessible without sacrificing mathematical rigor, making this edition ideal for course adoption, independent study, or a professional reference on the shelf.

If you need a dependable guide to categorical and nonparametric techniques that works across disciplines and geographies, this second edition is an essential addition to your library. Order your copy today to deepen your analytical toolkit and confidently tackle discrete-data challenges in research and practice.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.