Shrinkage Estimation
This book provides a coherent framework for understanding shrinkage estimation in statistics. The term refers to modifying a classical estimator by moving it closer to a target which could be known a priori or arise from a model. The goal is to construct estimators with improved statistical properti...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Springer Series in Statistics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chapter 1. Decision Theory Preliminaries
- Chapter 2. Estimation of a normal mean vector I
- Chapter 3. Estimation of a normal mean vector II
- Chapter 4. Spherically symmetric distributions
- Chapter 5. Estimation of a mean vector for spherically symmetric distributions I: known scale
- Chapter 6. Estimation of a mean vector for spherically symmetric distributions II: with a residual
- Chapter 7. Restricted Parameter Spaces
- Chapter 8. Loss and Confidence Level Estimation.-.