All of Nonparametric Statistics
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 research...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer New York
2006, 2006
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| Edition: | 1st ed. 2006 |
| Series: | Springer Texts in Statistics
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Estimating the CDF and Statistical Functionals
- The Bootstrap and the Jackknife
- Smoothing: General Concepts
- Nonparametric Regression
- Density Estimation
- Normal Means and Minimax Theory
- Nonparametric Inference Using Orthogonal Functions
- Wavelets and Other Adaptive Methods
- Other Topics