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Introduction to empirical processes and semiparametric inference /
"This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical reference for complex models and in understanding the properties of such m...
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
New York, N.Y. :
Springer,
©2008.
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| Series: | Springer series in statistics.
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| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- Introduction
- An Overview of The Empirical Processes
- Overview of Semiparametric Inference
- Case Studies I
- Introduction to Empirical Processes
- Preliminiaries for Empirical Processes
- Stochastic Convergence
- Empirical Process Methods
- Entropy Calculations
- Bootstrapping Empirical Processes
- Additional Empirical Process Results
- The Functional Delta Method
- Z-Estimators
- M-Estimators
- Case Studies II
- Introduction To Semiparametric Inference
- Seimparametric Models and Efficiency
- Efficient Inference for Fininte-Dimensional Parameters
- Efficient Inference for Infinite-Dimensional Parameters
- Semiparametric M-Estimators
- Case Studies III.