Geometrical foundations of asymptotic inference /
Differential geometry provides an aesthetically appealing and often revealing view of statistical inference. Beginning with an elementary treatment of one-parameter statistical models and ending with an overview of recent developments, this is the first book to provide an introduction to the subject...
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| Format: | eBook |
| Language: | English |
| Published: |
New York :
Wiley,
1997.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | Differential geometry provides an aesthetically appealing and often revealing view of statistical inference. Beginning with an elementary treatment of one-parameter statistical models and ending with an overview of recent developments, this is the first book to provide an introduction to the subject that is largely accessible to readers not already familiar with differential geometry. It also gives a streamlined entry into the field to readers with richer mathematical backgrounds. Much space is devoted to curved exponential families, which are of interest not only because they may be studied g. |
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| Physical Description: | 1 online resource (xii, 355 pages) : illustrations |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: | 9781118165980 1118165985 9781118165973 1118165977 |