Register-Based Statistics: Wiley Series in Survey Methodology
Autor Anders Wallgren, Britt Wallgrenen Limba Engleză Hardback – 21 mai 2007
Register-based Statistics offers readers a detailed account of the principles and practices of this increasingly popular area of statistics.
- Provides a comprehensive overview of register-based statistics, both in terms of theory and advanced application.
- Uses real life examples taken from Statistics Sweden to illustrate fundamental global principles.
- Proposes a much-needed systematic terminology for the field.
- Describes how to create statistical registers and a methodology for integration of data from many sources as a key tool for the future.
- Develops estimation methods and quality concepts for register-based surveys.
- Discusses statistical systems consisting of many statistical registers and surveys, highlighting the importance of consistency and coherence.
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Specificații
ISBN-13: 9780470027783
ISBN-10: 0470027789
Pagini: 272
Dimensiuni: 174 x 254 x 22 mm
Greutate: 0.61 kg
Editura: Wiley
Seria Wiley Series in Survey Methodology
Locul publicării:Chichester, United Kingdom
ISBN-10: 0470027789
Pagini: 272
Dimensiuni: 174 x 254 x 22 mm
Greutate: 0.61 kg
Editura: Wiley
Seria Wiley Series in Survey Methodology
Locul publicării:Chichester, United Kingdom
Public țintă
Experts working globally in National Statistics Institutes, especially the many looking to develop statistics infrastructures that rely strongly on administrative registers and University statisticians (and those studying statistics), and statisticians working in government institutions and industry.Notă biografică
Anders and Britt Wallgren both work for Statistics Sweden, one of the most efficient and highly regarded National Statistics Institute.
Descriere
There is a growing interest in developing register-based surveys; that is surveys based upon already available administrative data. Since huge amounts of such data are generated within various administrative systems, the opportunity exists to use the data for statistical analysis without any of the costs involved in data collection.