Statistical estimation. Asymptotic theor
β I.A. Ibragimov, R.Z. Has'minskii, S. Kotz
π Library
π
1981
π Springer
π English
β¦ LIBER β¦
π
Statistical Estimation: Asymptotic Theory
β Scribed by I. A. Ibragimov, R. Z. Hasβminskii (auth.)
- Publisher
- Springer New York
- Year
- 1981
- Tongue
- English
- Leaves
- 410
- Series
- Applications of Mathematics 16
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Matter....Pages i-vii
Basic Notation....Pages 1-2
Introduction....Pages 3-9
The Problem of Statistical Estimation....Pages 10-112
Local Asymptotic Normality of Families of Distributions....Pages 113-172
Properties of Estimators in the Regular Case....Pages 173-213
Some Applications to Nonparametric Estimation....Pages 214-240
Independent Identically Distributed Observations. Densities with Jumps....Pages 241-280
Independent Identically Distributed Observations. Classification of Singularities....Pages 281-320
Several Estimation Problems in a Gaussian White Noise....Pages 321-361
Back Matter....Pages 363-403
β¦ Subjects
Probability Theory and Stochastic Processes
π SIMILAR VOLUMES
Statistical Estimation. Asymptotic Theor
β I.A. Ibragimov, R.Z. Has'minskii
π Library
π
1981
π English
Asymptotic Efficiency of Statistical Est
β Masafumi Akahira, Kei Takeuchi (auth.)
π Library
π
1981
π Springer-Verlag New York
π English
<p>This monograph is a collection of results recently obtained by the authors. Most of these have been published, while others are awaitlng publication. Our investigation has two main purposes. Firstly, we discuss higher order asymptotic efficiency of estimators in regular situaΒ tions. In these sit
Mathematical statistics. Asymptotic mini
β Korostelev A.P., Korosteleva O.
π Library
π
2011
π American Mathematical Society
π English
This book is designed to bridge the gap between traditional textbooks in statistics and more advanced books that include the sophisticated nonparametric techniques. It covers topics in parametric and nonparametric large-sample estimation theory. The exposition is based on a collection of relatively
Mathematical Statistics: Asymptotic Mini
β Alexander Korostelev, Olga Korosteleva
π Library
π
2011
π American Mathematical Society
π English
This book is designed to bridge the gap between traditional textbooks in statistics and more advanced books that include the sophisticated nonparametric techniques. It covers topics in parametric and nonparametric large-sample estimation theory. The exposition is based on a collection of relatively
Mathematical Statistics: Asymptotic Mini
β Alexander Korostelev, Olga Korosteleva
π Library
π
2011
π American Mathematical Society
π English
This book is designed to bridge the gap between traditional textbooks in statistics and more advanced books that include the sophisticated nonparametric techniques. It covers topics in parametric and nonparametric large-sample estimation theory. The exposition is based on a collection of relatively