Nonparametric Statistics ()

Author: Wang Xing
Publisher:
Publish Date: 2005-01-01
Features: This book is suitable for undergraduate students in their third and fourth years in macro and micro fields such as statistics, economics, management, biology, and related researchers studying nonparametric statistics. It can also be used as a reference book for statistical research or data analysis. The prerequisite for this book is only a basic understanding of elementary statistics. Readers who are slightly unfamiliar with statistical foundations can review the relevant content in Chapter 2 as a supplement. The content of this book can be completed within one semester with 54 class hours, and it is recommended to allocate about 10 hours for concentrated hands-on computer practice. The book is equipped with a rich set of exercises, including theoretical derivations, method applications, and programming tasks. We hope students will master nonparametric statistical methods through a sufficient number of exercises and select appropriate environments to correctly use these methods. To facilitate learning, slides have been prepared for this book, which include some example data from the book and teaching outlines for each chapter.