The goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics in nonparametric inference. The book is aimed at Master's level or Ph.D. level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods.

This text covers a wide range of topics including: the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book has a mixture of methods and theory.

本书的目标是为读者提供一本书，让他们能够找到非参数推断中许多现代主题的简要说明。本书针对的是统计学、计算机科学和工程学领域的硕士或博士生。它也适用于那些想快速掌握现代非参数方法的研究人员。

本书涵盖了广泛的主题，包括：自举法、非参数三角法、非参数回归、密度估计、正交函数法、最小值估计、非参数置信集和小波。这本书有方法和理论的混合。

来自评论。

"......这本书很好。" (《国际统计学会短篇书评》，2006年6月)

"现在我们有了《非参数统计学全书》......文笔很好，作者达到了清晰的程度，值得祝贺。......这本书很出色"。(N.R. Draper，《短篇书评》，第26卷（1），2006年)

"总的来说，我非常喜欢读这本书。我喜欢沃瑟曼对为什么采取一种路径或方法而不是另一种路径或方法的直观解释和仔细洞察。最重要的是，我对渐进式非参数推断这一主题的丰富信息印象深刻"。(Stergios B. Fotopoulos for Technometrics, Vol. 49, No. 1., February 2007)

From the reviews:

"...The book is excellent." (Short Book Reviews of the ISI, June 2006)

"Now we have All of Nonparametric Statistics … . the writing is excellent and the author is to be congratulated on the clarity achieved. … the book is excellent." (N.R. Draper, Short Book Reviews, Vol. 26 (1), 2006)

"Overall, I enjoyed reading this book very much. I like Wasserman's intuitive explanations and careful insights into why one path or approach is taken over another. Most of all, I am impressed with the wealth of information on the subject of asymptotic nonparametric inferences." (Stergios B. Fotopoulos for Technometrics, Vol. 49, No. 1., February 2007)