Nonparametric Curve Estimation Methods, Theory, and Applications /
Appropriate for a one-semester course, this self-contained book is an introduction to nonparametric curve estimation theory. It may be used for teaching graduate students in statistics (in this case an intermediate statistical inference, on the level of the book by G. Casella and R. Berger (1990) &q...
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| Format: | Electronic eBook |
| Language: | English |
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New York, NY :
Springer New York,
1999.
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| Series: | Springer Series in Statistics,
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Orthonormal Series and Approximation
- Density Estimation for Small Samples
- Nonparametric Regression for Small Samples
- Nonparametric Time Series Analysis for Small Samples
- Estimation of Multivariate Functions for Small Samples
- Filtering and Asymptotics
- Nonseries Methods.
