Please use this identifier to cite or link to this item: http://dl.pgu.ac.ir/handle/Hannan/9979
Title: Evaluation of Statistical Matching and Selected SAE Methods;Using Micro Census and EU-SILC Data /
Authors: Puchner, Verena
Keywords: Mathematics;Computer Science;Mathematics;Distribution (Probability theory);Mathematics;Computational Mathematics and Numerical Analysis;Probability Theory and Stochastic Processes;Applications of Mathematics;518 23 518 23;QA71-90
Issue Date: 2015
Publisher: Springer Fachmedien Wiesbaden;Imprint Springer Spektrum,
place: Wiesbaden
Series/Report no.: BestMasters.;BestMasters.
Abstract: Verena Puchner evaluates and compares statistical matching and selected SAE methods. Due to the fact that poverty estimation at regional level based on EU-SILC samples is not of adequate accuracy, the quality of the estimations should be improved by additionally incorporating micro census data. The aim is to find the best method for the estimation of poverty in terms of small bias and small variance with the aid of a simulated artificial "close-to-reality" population. Variables of interest are imputed into the micro census data sets with the help of the EU-SILC samples through regression models including selected unit-level small area methods and statistical matching methods. Poverty indicators are then estimated. The author evaluates and compares the bias and variance for the direct estimator and the various methods. The variance is desired to be reduced by the larger sample size of the micro census. ??Contents Regression Models Including Selected Small Area Methods Statistical Matching Application to Poverty Estimation Using EU-SILC and Micro Census Data Bootstrap Methods Target Groups ??Researchers, students, and practitioners in the fields of statistics, official statistics, and survey statistics ??The Author Verena Puchner obtained her master???s degree at Technical University of Vienna under the supervision of Priv.-Doz. Dipl.-Ing. Dr. techn. Matthias Templ. At present, she works as a data miner and consultant.
Description: Printed edition:;9783658082239.
Table Of Contents: Regression Models Including Selected Small Area Methods -- Statistical Matching -- Application to Poverty Estimation Using EU-SILC and Micro Census Data -- Bootstrap Methods.
URI: http://dl.pgu.ac.ir/handle/Hannan/9979
ISBN: 9783658082246
9783658082239 (print)
Format: [electronic resource] :
Type Of Material: Book
Appears in Collections:Mathematics

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