- Paperback: 528 pages
- Publisher: Cambridge University Press (24 Oct 2011)
- Language English
- ISBN-10: 1107630738
- ISBN-13: 978-1107630734
- Product Dimensions: 24.6 x 16.8 x 3.2 cm
- Amazon Bestsellers Rank: 5,835,747 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Review
'The text contains a wealth of interesting and useful material, most of which does not work its way into standard first courses in probability or mathematical statistics.' Fred Huffer, Journal of the American Statistical Association 'The most outstanding aspect of Elements of Distribution Theory is that it solidly fills a gap as an introductory coverage of approximation theory for probability distributions that gracefully avoids measure theory ... Severini's proofs are clear, abundant, and illustrate the main techniques.' SIAM Review 'A powerful introduction to distribution theory ... The book's material is invaluable and has a good presentation ... meets its goal and [serves] all who are interested in statistics, and so it is strongly recommended to libraries.' Hassan S. Bakouch, Journal of the Royal Statistical Society 'The exposition is clear and solving the wide variety of exercises at the end of every chapter will be of help in understanding the subject better. Students wishing to learn distribution theory quickly without the use of measure theory will welcome this book.' Sreenivasan Ravi, Mathematical Reviews 'This is a very good book on statistical distribution theory.' Zentralblatt MATH
Review
'The text contains a wealth of interesting and useful material, most of which does not work its way into standard first courses in probability or mathematical statistics.' Fred Huffer, Journal of the American Statistical Association
'The most outstanding aspect of Elements of Distribution Theory is that it solidly fills a gap as an introductory coverage of approximation theory for probability distributions that gracefully avoids measure theory … Severini's proofs are clear, abundant, and illustrate the main techniques.' SIAM Review
'A powerful introduction to distribution theory … The book's material is invaluable and has a good presentation … meets its goal and [serves] all who are interested in statistics, and so it is strongly recommended to libraries.' Hassan S. Bakouch, Journal of the Royal Statistical Society
'The exposition is clear and solving the wide variety of exercises at the end of every chapter will be of help in understanding the subject better. Students wishing to learn distribution theory quickly without the use of measure theory will welcome this book.' Sreenivasan Ravi, Mathematical Reviews
'This is a very good book on statistical distribution theory.' Zentralblatt MATH
'The most outstanding aspect of Elements of Distribution Theory is that it solidly fills a gap as an introductory coverage of approximation theory for probability distributions that gracefully avoids measure theory … Severini's proofs are clear, abundant, and illustrate the main techniques.' SIAM Review
'A powerful introduction to distribution theory … The book's material is invaluable and has a good presentation … meets its goal and [serves] all who are interested in statistics, and so it is strongly recommended to libraries.' Hassan S. Bakouch, Journal of the Royal Statistical Society
'The exposition is clear and solving the wide variety of exercises at the end of every chapter will be of help in understanding the subject better. Students wishing to learn distribution theory quickly without the use of measure theory will welcome this book.' Sreenivasan Ravi, Mathematical Reviews
'This is a very good book on statistical distribution theory.' Zentralblatt MATH
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