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.
Register-based surveys require their own methodology and the development of these methods is an important challenge to statistical science. Instead of methods on how to collect data, methods for integrating data from different sources are necessary. How should administrative data be transformed to meet the statistical needs?
Register-based Statistics offers readers a detailed account of the principles and practices of this increasingly popular area of statistics.
Register-based Statistics provides a unique guide for all those working in statistical agencies. It will also prove invaluable for academic researchers and teachers in statistics, and statisticians working with administrative systems in government institutions and enterprises.
"synopsis" may belong to another edition of this title.
Anders and Britt Wallgren both work for Statistics Sweden, one of the most efficient and highly regarded National Statistics Institute.
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.
Register-based surveys require their own methodology and the development of these methods is an important challenge to statistical science. Instead of methods on how to collect data, methods for integrating data from different sources are necessary. How should administrative data be transformed to meet the statistical needs?
Register-based Statistics offers readers a detailed account of the principles and practices of this increasingly popular area of statistics.
Register-based Statistics provides a unique guide for all those working in statistical agencies. It will also prove invaluable for academic researchers and teachers in statistics, and statisticians working with administrative systems in government institutions and enterprises.
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.
Register-based surveys require their own methodology and the development of these methods is an important challenge to statistical science. Instead of methods on how to collect data, methods for integrating data from different sources are necessary. How should administrative data be transformed to meet the statistical needs?
Register-based Statistics offers readers a detailed account of the principles and practices of this increasingly popular area of statistics.
Register-based Statistics provides a unique guide for all those working in statistical agencies. It will also prove invaluable for academic researchers and teachers in statistics, and statisticians working with administrative systems in government institutions and enterprises.
"About this title" may belong to another edition of this title.
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Condition: New. 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. Series: Wiley Series in Survey Methodology. Num Pages: 258 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 173 x 249 x 20. Weight in Grams: 604. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780470027783