Nonparametric statistics for stochastic processes : estimation and prediction /
This book provides a mathematically rigorous treatment of the theory of nonparametric estimation and prediction for stochastic processes. It discusses discrete time and continuous time, and the emphasis is on the kernel methods. Several new results are presented concerning optimal and superoptimal c...
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| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer,
[1996]
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| Series: | Lecture notes in statistics (Springer-Verlag) ;
v. 110. |
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| Online Access: | Connect to the full text of this electronic book |
Internet
Connect to the full text of this electronic bookAvailable Online
| Call Number: |
QA278.8 .B67 1996 |
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| Call Number | Status | Get It |
| QA278.8 .B67 1996 | Available | |