Utvidet returrett til 31. januar 2025

Bøker av Anders (Statistics Sweden Wallgren

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  • - Registers and the National Statistical System
    av Anders (Statistics Sweden Wallgren
    1 216,-

    REGISTER-BASED STATISTICSRediscover this authoritative guide to register-based statistics filled with significant new improvementsIn the newly revised Third Edition of Register-based Statistics: Registers and the National Statistical System, Anders Wallgren and Britt Wallgren deliver a robust exploration of how register-based statistics can be used to its fullest potential. The authors describe how statistical institutes can work on long-term projects to improve administrative systems, as well as estimation methods that can improve the quality of statistical estimates based on registers with quality problems. Readers will also discover how to improve the ways register-statistical issues are introduced, as well as how to create population registers.Finally, the authors draw on their experience from teaching and consulting in several countries to explain how to implement register-based statistics.Key features of the third edition:* Discusses the problems new register countries face* Explains how registers will improve the efficiency of the national statistical system* Clarifies the importance of the system approach* Describes how a statistical population register can be created* Registers-based statistics require new skills and understanding of new concepts* Many important quality indicators are described* Explains difficult topics in a pedagogic wayPerfect for staff at national statistical institutes and administrative and ministerial authorities belonging to national statistical systems, Register-based Statistics will also prove to be an indispensable resource for undergraduate and graduate students in statistics programs and courses, as well as survey researchers and practitioners.

  • - Statistical Methods for Administrative Data
    av Anders (Statistics Sweden Wallgren
    1 189,-

    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.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."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.

  • - Administrative Data for Statistical Purposes
    av Anders (Statistics Sweden Wallgren
    1 458,-

    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.

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