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Information and Exponential Families: In Statistical Theory
O. Barndorff-Nielsen
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Description for Information and Exponential Families: In Statistical Theory
Hardback. Series: Wiley Series in Probability and Statistics. Num Pages: 248 pages, black & white illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 236 x 153 x 19. Weight in Grams: 508.
First published by Wiley in 1978, this book is being re-issued with a new Preface by the author. The roots of the book lie in the writings of RA Fisher both as concerns results and the general stance to statistical science, and this stance was the determining factor in the author's selection of topics. His treatise brings together results on aspects of statistical information, notably concerning likelihood functions, plausibility functions, ancillarity, and sufficiency, and on exponential families of probability distributions.
First published by Wiley in 1978, this book is being re-issued with a new Preface by the author. The roots of the book lie in the writings of RA Fisher both as concerns results and the general stance to statistical science, and this stance was the determining factor in the author's selection of topics. His treatise brings together results on aspects of statistical information, notably concerning likelihood functions, plausibility functions, ancillarity, and sufficiency, and on exponential families of probability distributions.
Product Details
Format
Hardback
Publication date
2014
Publisher
John Wiley & Sons Inc United States
Number of pages
248
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
250
Place of Publication
New York, United States
ISBN
9781118857502
SKU
V9781118857502
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About O. Barndorff-Nielsen
Ole Barndorff-Nielsen is a renowned Danish statistician, Professor Emeritus at Aarhus University at the Thiele Centre for Applied Mathematics in Natural Science and affiliated with the Center for Research in Econometric Analysis of Time Series (CREATES). Since 2008 he has also been affiliated to Institute of Advanced Studies, Technical University Munich.
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