Applied Nonparametric Statistical Methods(3rd Edition)
Authors:
Peter Sprent, Nigel C. Smeeton
In Stock: 1 Left
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Solution Manual Includes
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$9.99
Book details
ISBN: 1584881453, 9781584881452
Book publisher: Chapman And Hall/CRC
Book Price $0 : Applied Nonparametric Statistical Methods by Peter Sprent and Nigel C. Smeeton, now in its third edition, is a comprehensive guide to understanding and applying nonparametric statistical methods. The book is vital for those interested in statistical analysis where the assumptions of normal distribution may not be met. It’s an essential resource for professionals dealing with real-world data that do not adhere to traditional parametric tests. Key themes include hypothesis testing, rank tests, and categorical data analysis. This edition compiles a wide range of techniques and includes updated discussions on modern applications, enhancing its relevance in fields such as medicine, engineering, and social sciences. The solution manual and answer key provided in the appendices assist readers in self-assessing their grasp of the concepts. The table of contents clearly delineates each chapter, allowing for easy navigation through topics like the Wilcoxon Signed-Rank Test or the Kruskal-Wallis Test. This book is acclaimed for its practical approach, making complex methods accessible to practitioners and students alike. Its reputation is bolstered by detailed examples that are closely tied to real-data sets, which exemplify nonparametric techniques in action. In summary, this book serves as a critical resource for understanding nonparametric methods, complete with illustrative exercises and confident application in various sectors. Educators will find this cheap volume useful when recommending economical study resources to their students.
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