Author: (USA) Conover
Publisher:
Publish Date: 2006-04-01
Features: Nonparametric statistics provides a rich and persuasive statistical tool for effectively analyzing data obtained from experimental designs and practical problems. This book introduces nonparametric statistical methods from various aspects, including the background and motivation of problems, the introduction of methods, theoretical foundations, computer implementation, application examples, and literature reviews. The content includes: tests based on the binomial distribution, contingency tables, rank tests, Kolmogorov-Smirnov-type statistics, etc. The book is rich in content, clear in logic, and well-structured. While emphasizing practicality, it highlights the integration of application methods and theory. Numerous real-world examples are provided in both the main text and exercises, along with statistical tables, solutions to odd-numbered exercises, and a glossary at the end of the book. As a foundational textbook for nonparametric statistics, this book is suitable for upper-level undergraduate and graduate courses in statistics. It can also be used as a reference for professionals engaged in statistical applications and research, data analysis and processing, and related fields.
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Applied Nonparametric Statistics (3rd Edition)
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