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Pioneering Works on Distribution Theory: In Honor of Masaaki Sibuya (JSS Research Series in Statistics)
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Pioneering Works on Distribution Theory : In Honor of Masaaki Sibuya
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Pioneering Works on Distribution Theory : In Honor of Masaaki Sibuya
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Add to basketPaperback. Condition: Brand New. 121 pages. 9.25x6.10x0.28 inches. In Stock.
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Pioneering Works on Distribution Theory
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2021, 2021
ISBN 10: 981159662X ISBN 13: 9789811596629
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book highlights the forefront of research on statistical distribution theory, with a focus on unconventional random quantities, and on phenomena such as random partitioning. The respective papers reflect the continuing appeal of distribution theory and the lively interest in this classic field, which owes much of its expansion since the 1960s to Professor Masaaki Sibuya, to whom this book is dedicated.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.
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Pioneering Works on Distribution Theory : In Honor of Masaaki Sibuya
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 981159662X ISBN 13: 9789811596629
Language: English
£ 51.40
Convert currency£ 52.84 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights the forefront of research on statistical distribution theory, with a focus on unconventional random quantities, and on phenomena such as random partitioning. The respective papers reflect the continuing appeal of distribution theory and the lively interest in this classic field, which owes much of its expansion since the 1960s to Professor Masaaki Sibuya, to whom this book is dedicated.The topics addressed include a test procedure for discriminating the(multivariate) Ewens distribution from the Pitman Sampling Formula, approximation to the length of the Ewens distribution by discrete distributions and the normal distribution, and the distribution of the number of levels in[s]-specified random permutations. Also included are distributions associated with orthogonal polynomials with a symmetric matrix argument and the characterization of the Jeffreys prior.
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Pioneering Works on Distribution Theory
Published by Springer Nature Singapore Jan 2021, 2021
ISBN 10: 981159662X ISBN 13: 9789811596629
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights the forefront of research on statistical distribution theory, with a focus on unconventional random quantities, and on phenomena such as random partitioning. The respective papers reflect the continuing appeal of distribution theory and the lively interest in this classic field, which owes much of its expansion since the 1960s to Professor Masaaki Sibuya, to whom this book is dedicated.The topics addressed include a test procedure for discriminating the(multivariate) Ewens distribution from the Pitman Sampling Formula, approximation to the length of the Ewens distribution by discrete distributions and the normal distribution, and the distribution of the number of levels in[s]-specified random permutations. Also included are distributions associated with orthogonal polynomials with a symmetric matrix argument and the characterization of the Jeffreys prior. 132 pp. Englisch.
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Pioneering Works on Distribution Theory: In Honor of Masaaki Sibuya
Published by Springer Nature Singapore, 2021
ISBN 10: 981159662X ISBN 13: 9789811596629
Language: English
£ 43.10
Convert currency£ 42.39 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gathers a wealth of rigorously peer-reviewed contributions, written by respected expertsHighlights the latest approaches to statistical distributionsThough chiefly focusing on theory, will also appeal to readers interested in applied probab.
