Description
| Product ID: | 9781441920447 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | US |
| Series: | Springer Texts in Statistics |
| Title: | All of Nonparametric Statistics |
| Authors: | Author: Larry Wasserman |
| Page Count: | 270 |
| Subjects: | Probability and statistics, Probability & statistics, Artificial intelligence, Artificial intelligence |
| Description: | There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. The goal of this text is to provide readers with a single book where they can ?nd a brief account of many of the modern topics in nonparametric inference. This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD 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. It 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’s dual approach includes a mixture of methodology and theory. |
| Imprint Name: | Springer-Verlag New York Inc. |
| Publisher Name: | Springer-Verlag New York Inc. |
| Country of Publication: | GB |
| Publishing Date: | 2010-11-19 |
