Differential-Geometrical Methods in Statistics

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From the reviews: "In this Lecture Note volume the author describes his differential-geometric approach to parametrical statistical problems summarizing the results he had published in a series of papers in the last five years. The author provides a geometric framework for a special class of test and estimation procedures for curved exponential families. ... ... The material and ideas presented in this volume are important and it is recommended to everybody interested in the connection between statistics and geometry ..." #Metrika#1 "More than hundred references are given showing the growing interest in differential geometry with respect to statistics. The book can only strongly be recommended to a geodesist since it offers many new insights into statistics on a familiar ground." #Manuscripta Geodaetica#2

Author(s): Shun-ichi Amari (auth.)
Series: Lecture Notes in Statistics 28
Edition: 1
Publisher: Springer-Verlag New York
Year: 1985

Language: English
Pages: 294
Tags: Statistics, general

Front Matter....Pages N2-V
Introduction....Pages 1-10
Differential Geometry of Statistical Models....Pages 11-65
α-Divergence and α-Projection in Statistical Manifold....Pages 66-103
Curved Exponential Families and Edgeworth Expansions....Pages 104-127
Asymptotic Theory of Estimation....Pages 128-160
Asymptotic Theory of Tests and Interval Estimators....Pages 161-209
Information, Ancillarity and Conditional Inference....Pages 210-243
Statistical Inference in the Presence of Nuisance Parameters....Pages 244-275
Back Matter....Pages 276-295