Statistical Matching: Theory and Practice (Wiley Series in Survey Methodology) - Hardcover

D'Orazio, Marcello; Di Zio, Marco; Scanu, Mauro

 
9780470023532: Statistical Matching: Theory and Practice (Wiley Series in Survey Methodology)
Hardcover
ISBN 10: 0470023538 ISBN 13: 9780470023532
Publisher: Wiley, 2006

Synopsis

There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of 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 a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.

"synopsis" may belong to another edition of this title.

About the Author

Marcello D'Orazio is the author of Statistical Matching: Theory and Practice, published by Wiley.

From the Back Cover

There is more statistical data produced in today's modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of 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 a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.

From the Inside Flap

There is more statistical data produced in today's modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of 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 a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources. 

"About this title" may belong to another edition of this title.

Publisher
Wiley
Publication date
2006
Language
English
ISBN 10 
0470023538
ISBN 13 
9780470023532
Binding
Hardcover
Edition number
1
Number of pages
272

Other Popular Editions of the Same Title

9780470023556: Statistical Matching: Theory and Practice

Featured Edition

ISBN 10:  0470023554 ISBN 13:  9780470023556
Publisher: John Wiley & Sons, 2006
Softcover