Nonparametric Methods in Statistics with SAS Applications (Chapman & Hall/CRC Texts in Statistical Science)

Product Details:

• Author: Olga Korosteleva
• Publisher: CRC Press
• Edition: 1
• ISBN: 9781466580626
• Pages: 196
• Cover: Paperback
• Language: English
• Dimensions: 9.0 x 6.0 x 0.6 inches

About the Book:

Nonparametric Methods in Statistics with SAS Applications by Olga Korosteleva is an essential textbook for graduate students studying applied statistics. This book is specifically designed to guide students in the application of nonparametric techniques to statistical data, covering a broad spectrum of topics critical to the field.

Beginning with classical nonparametric hypothesis testing—such as the sign test, Wilcoxon sign-rank and rank-sum tests, and Spearman rank correlation—this book systematically introduces regression modeling, time-to-event analysis, and density estimation. It also explores advanced methods like smoothing techniques for nonparametric regression, logistic and Poisson regression models, and survival analysis methods including Kaplan-Meier curves and Cox proportional hazards.

The text is enriched with real-world examples and datasets from various fields such as psychology, education, and clinical trials. Every chapter ends with exercises that reinforce key concepts and require the use of SAS 9.3 software. The book includes SAS code for all examples and large datasets available on the author's website, offering students hands-on experience to apply their learning.

This textbook is an invaluable resource for anyone looking to master nonparametric statistics using SAS, offering a comprehensive yet accessible approach for both beginners and advanced learners.