Elements of Large-Sample Theory
Elements of Large-Sample Theory provides a unified treatment of first- order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level and is suit...
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Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
1999.
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Series: | Springer Texts in Statistics,
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Mathematical Background
- Convergence in Probability and in Law
- Performance of Statistical Tests
- Estimation
- Multivariate Extensions
- Nonparametric Estimation
- Efficient Estimators and Tests.