<電子ブック>
Recent Advances in Statistical Research and Data Analysis / edited by Y. Baba, A.J. Hayter, K. Kanefuji, S. Kuriki
版 | 1st ed. 2002. |
---|---|
出版者 | (Tokyo : Springer Japan : Imprint: Springer) |
出版年 | 2002 |
本文言語 | 英語 |
大きさ | VIII, 128 p : online resource |
著者標目 | Baba, Y editor Hayter, A.J editor Kanefuji, K editor Kuriki, S editor SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Artificial intelligence -- Data processing 全ての件名で検索 FREE:Statistical Theory and Methods FREE:Data Science |
一般注記 | Multiplicity Problems in the Clinical Trial and Some Statistical Approaches -- A Probability Analysis of the Playoff System in Sumo Tournaments -- Quantification of Ordinal Variables: A Critical Inquiry into Polychoric and Canonical Correlation -- MTV and MGV: Two Criteria for Nonlinear PCA -- Setting the Number of Clusters in K-Means Clustering Recent Advances in Statistical Research and Data Analysis is a collection of papers presented at the symposium of the same name, held in Tokyo by the Center for Information on Statistical Science of the Institute of Statistical Mathematics (ISM). Under the auspices of the Ministry of Education, Culture, Sports, Science and Technology of Japan, the ISM has created visiting professorships and organized symposia to promote collaboration between researchers from Japan and those from other countries. At the symposium on recent advances in statistical research and data analysis, the keynote speaker was Visiting Professor Anthony J. Hayter. This book includes Prof. Hayter's address as well as papers from special lectures that were presented at the symposium. All the contributions are concerned with theory and methodology for real data and thus will benefit researchers, students, and others engaged in data analysis HTTP:URL=https://doi.org/10.1007/978-4-431-68544-9 |
目次/あらすじ
所蔵情報を非表示
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
電子ブック | オンライン | 電子ブック |
|
Springer eBooks | 9784431685449 |
|
電子リソース |
|
EB00232387 |
類似資料
この資料の利用統計
このページへのアクセス回数:3回
※2017年9月4日以降