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Solutions Manual to MATHEMATICAL STATISTICS_ Asymptotic Minimax Theory

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Author(s): Alexander Korostelev, Olga Korosteleva
Publisher: AMS
Year: 2011

Language: English
Pages: 58
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;

Chapter 1 The Fisher Efficiency
Chapter 2 The Bayes and Minimax Estimators
Chapter 3 Asymptotic Minimaxity
Chapter 4 Some Irrigular Statistical Experiments
Chapter 5 Change-Point Problem
Chapter 6 Sequential Estimators
Chapter 7 Linear Parametric Regression
Chapter 8 Estimation in Nonparametric Regression
Chapter 9 Local Polynomial Approximation of Regression Function
Chapter 10 Estimation of Regression in Global Norms
Chapter 11 Estimation by Splines
Chapter 12 Asymptotic Optimality in Global Norms
Chapter 13 Estimation of Functionals
Chapter 14 Dimension and Structure in Nonparametric Regression
Chapter 15 Adaptive Estimation
Chapter 16 Testing of Nonparametric Hypotheses