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Differential-Geometrical Methods in Statistics (Lecture Notes in Statistics 28)
Shun-Ichi Amari
€ 183.95
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Description for Differential-Geometrical Methods in Statistics (Lecture Notes in Statistics 28)
Paperback. Series: Lecture Notes in Statistics. Num Pages: 294 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 16. Weight in Grams: 582.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
1990
Publisher
Springer
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
294
Place of Publication
New York, NY, United States
ISBN
9780387960562
SKU
V9780387960562
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Differential-Geometrical Methods in Statistics (Lecture Notes in Statistics 28)