【书名】Statistical Matching: Theory and Practice
【作者】Marcello D'Orazio, Marco Di Zio, Mauro Scanu
【出版社】WILEY
【版本】1st Edition
【出版日期】2006 March
【文件格式】PDF
【文件大锌1.91 MB
【页数】263
【ISBN出版号】978-0-470-02353-2
【资料类别】统计学
【市面定价】72欧，60英镑
【扫描版还是影印版】清晰电子版
【是否缺页】完整
【关键词】matching, data
【内容简介】
当今社会数据“泛滥”，不同来源不同方法收集的数据难免质量参差不齐，以至于很多数据之间已经失去了应有的联系，增加了从数据中提取有用信息的难度。 本书旨在如何科学地整合不同来源的数据。书中包含了详细的，最新的方法以及它们的应用。
There is more statistical data produced in today’s modern society thanever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harderto combine and therefore obtain any meaningful inference from.Statistical matching allows just that; it is the art of combininginformation from different sources (particularly sample surveys) thatcontain no common unit. In response to modern influxes of data, it isan area of rapidly growing interest and complexity. Statistical Matching: Theory and Practiceintroduces the basics of statistical matching, before going on to offera detailed, up-to-date overview of the methods used and an examinationof their practical applications.

• Presents a unified framework for both theoretical and practical aspects of statistical matching.
• Provides a detailed description covering all the steps needed to perform statistical matching.
• Contains a critical overview of the available statistical matching methods.
• Discusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty.
• Includes numerous examples and applications, enabling the reader to apply the methods in their own work.
• Features an appendix detailing algorithms written in the R language.

Statistical Matching: Theory and Practice presents acomprehensive exploration of an increasingly important area. Ideal forresearchers in national statistics institutes and appliedstatisticians, it will also prove to be an invaluable text forscientists and researchers from all disciplines engaged in themultivariate analysis of data collected from different sources.

【目录】
1 The Statistical Matching Problem.
2 The Conditional Independence Assumption.
3 Auxiliary Information.
4 Uncertainty in Statistical Matching.
5 Statistical Matching and Finite Populations.
6 Issues in Preparing for Statistical Matching.
7 Applications.
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【整理书评】
"My compliments to the authors for making these (seemingly) arcaneideas available to a whole new generation of statisticians andeconomists." (Journal of the American Statistical Association, September 2007)

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