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Differential Geometry and Statistics (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) [Hardcover]

by M.K. Murray, J.W. Rice

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Book Description

April 1, 1993 0412398605 978-0412398605 Softcover reprint of the original 1st ed. 1993
Ever since the introduction by Rao in 1945 of the Fisher information metric on a family of probability distributions there has been interest among statisticians in the application of differential geometry to statistics. This interest has increased rapidly in the last couple of decades with the work of a large number of researchers. Until now an impediment to the spread of these ideas into the wider community of statisticians is the lack of a suitable text introducing the modern co-ordinate free approach to differential geometry in a manner accessible to statisticians. This book aims to fill this gap. The authors bring to the book extensive research experience in differential geometry and its application to statistics. The book commences with the study of the simplest differential manifolds - affine spaces and their relevance to exponential families and passes into the general theory, the Fisher information metric, the Amari connection and asymptotics. It culminates in the theory of the vector bundles, principle bundles and jets and their application to the theory of strings - a topic presently at the cutting edge of research in statistics and differential geometry.

Frequently Bought Together

Differential Geometry and Statistics (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) + Methods of Information Geometry (Translations of Mathematical Monographs) (Tanslations of Mathematical Monographs) + Information Geometry: Near Randomness and Near Independence (Lecture Notes in Mathematics)
Price for all three: $227.78

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Editorial Reviews

Review

This book does an excellent job of explaining... geometrical ideas from a statistical point of view, using statistical examples as opposed to, for example, dynamical examples to illustrate the geometric concepts. It should prove most helpful in enlarging the typical statistician's working geometric vocabulary.
-Short Book Reviews of the ISI
It is particularly good on the... problem of when to use coordinates and indices, and when to use the more geometric coordinate-free methods. Examples of this are its treatments of the affine connection and of the string theory of Barndorff-Nielsen, both of which are excellent. The first of these concepts is probably the most sophisticated that has been used in statistical applications. It can be viewed in many different ways, not all of which are necessarily useful to the statistician; the approach taken in the book is both relevant and clear.
-Bulletin of London Mathematical Society

Product Details

  • Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 48)
  • Hardcover: 288 pages
  • Publisher: Chapman and Hall/CRC; Softcover reprint of the original 1st ed. 1993 edition (April 1, 1993)
  • Language: English
  • ISBN-10: 0412398605
  • ISBN-13: 978-0412398605
  • Product Dimensions: 9.4 x 6.1 x 0.8 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Amazon Best Sellers Rank: #1,255,650 in Books (See Top 100 in Books)

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