| 书目名称 | Computational Statistics |
| 编辑 | James E. Gentle |
| 视频video | http://file.papertrans.cn/234/233143/233143.mp4 |
| 概述 | Provides a comprehensive coverage of modern computationally-intensive statistical methods.Covers the topics in numerical analysis necessary for accurate and efficient implementation of the methods of |
| 丛书名称 | Statistics and Computing |
| 图书封面 |  |
| 描述 | .Computational inference has taken its place alongside asymptotic inference and exact techniques in the standard collection of statistical methods. Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally-intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods...The book assumes an intermediate background in mathematics, computing, and applied and theoretical statistics. The first part of the book, consisting of a single long chapter, reviews this background material while introducing computationally-intensive exploratory data analysis and computational inference...The six chapters in the second part of the book are on statistical computing. This part describes arithmetic in digital computers and how the nature of digital computations affects algorithms used in statistical methods. Building on the first chapters on numerical computations and algorithm design, the following chapters cover the main areas of statistical numerical analy |
| 出版日期 | Textbook 2009 |
| 关键词 | Estimator; Monte Carlo method; Partition; STATISTICA; bootstrap; clustering and classification; data analy |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-98144-4 |
| isbn_softcover | 978-1-4614-2929-6 |
| isbn_ebook | 978-0-387-98144-4Series ISSN 1431-8784 Series E-ISSN 2197-1706 |
| issn_series | 1431-8784 |
| copyright | Springer-Verlag New York 2009 |
|Archiver|手机版|小黑屋|
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