Asymptotic Theory of Nonlinear Regression
Let us assume that an observation Xi is a random variable (r.v.) with values in 1 1 (1R1 , 8 ) and distribution Pi (1R1 is the real line, and 8 is the cr-algebra of its Borel subsets). Let us also assume that the unknown distribution Pi belongs to a 1 certain parametric family {Pi() , () E e}. We ca...
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| Format: | eBook |
| Language: | English |
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Dordrecht
Springer Netherlands
1997, 1997
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| Edition: | 1st ed. 1997 |
| Series: | Mathematics and Its Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Consistency
- 2 Approximation by a Normal Distribution
- 3 Asymptotic Expansions Related to the Least Squares Estimator
- 4 Geometric Properties of Asymptotic Expansions
- I Subsidiary Facts
- II List of Principal Notations
- Commentary
- 1
- 2
- 3
- 4