Local Regression and Likelihood
Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
1999.
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Σειρά: | Statistics and Computing,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- The Origins of Local Regression
- Local Regression Methods
- Fitting with LOCFIT
- Local Likelihood Estimation
- Density Estimation
- Flexible Local Regression
- Survival and Failure Time Analysis
- Discrimination and Classification
- Variance Estimation and Goodness of Fit
- Bandwidth Selection
- Adaptive Parameter Choice
- Computational Methods
- Optimizing Local Regression.