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Pioneering Works on Distribution Theory : In Honor of Masaaki Sibuya / edited by Nobuaki Hoshino, Shuhei Mano, Takaaki Shimura
(JSS Research Series in Statistics. ISSN:23640065)
版 | 1st ed. 2020. |
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出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
出版年 | 2020 |
大きさ | VII, 121 p. 22 illus., 1 illus. in color : online resource |
著者標目 | Hoshino, Nobuaki editor Mano, Shuhei editor Shimura, Takaaki editor SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Probabilities FREE:Applied Statistics FREE:Statistical Theory and Methods FREE:Probability Theory |
一般注記 | Gibbs Base Random Partitions -- Asymptotic and approximate discrete distributions for length of Ewens sampling formula -- An Error Bound for the Normal Approximation to the Length of a Ewens Partition -- Distribution of Number of Levels in [s]-specified Random Permutation -- Properties of General Systems of Orthogonal Polynomials with Symmetric Matrix Argument -- Conjugate Analysis under Jeffreys' Prior with its Implications to Likelihood Inference 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 HTTP:URL=https://doi.org/10.1007/978-981-15-9663-6 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9789811596636 |
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電子リソース |
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EB00200544 |