Pseudo-Populations (PDF)

Name: Pseudo-Populations
Brand: Springer-Verlag GmbH
SKU: 70437784
Price: 53.49 EUR
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A Basic Concept in Statistical Surveys (Sprache: Englisch)

Autor: Andreas Quatember

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This book emphasizes that artificial or pseudo-populations play an important role in statistical surveys from finite universes in two manners: firstly, the concept of pseudo-populations may substantially improve users' understanding of various aspects in the sampling theory and survey methodology; an example of this scenario is the Horvitz-Thompson estimator. Secondly, statistical procedures exist in which pseudo-populations actually have to be generated. An example of such a scenario can be found in simulation studies in the field of survey sampling, where close-to-reality pseudo-populations are generated from known sample and population data to form the basis for the simulation process.

The chapters focus on estimation methods, sampling techniques, nonresponse, questioning designs and statistical disclosure control.This book is a valuable reference in understanding the importance of the pseudo-population concept and applying it in teaching and research.

Autoren-Porträt von Andreas Quatember

Andreas Quatember is Associate Professor at the Department for Applied Statistics (IFAS) at the Johannes Kepler University JKU in Linz (Austria). He studied Statistics and wrote his doctoral thesis on "Quota Sampling". His main research topics are sampling theory and survey methodology. Currently, he is working on the project "Data quality in statistical surveys".

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Bibliographische Angaben

Autor: Andreas Quatember
2015, 1st ed. 2015, 138 Seiten, Englisch
Verlag: Springer-Verlag GmbH
ISBN-10: 3319117858
ISBN-13: 9783319117850
Erscheinungsdatum: 16.09.2015

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Größe: 2.17 MB
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Englisch

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“This book attempts to present the theory of sample selection and estimation in the context of sampling from finite populations via a concept called ‘pseudo-populations’. … On the whole, this book is a welcome addition to the subject. … it will serve as a useful reference for graduate students specializing in survey sampling.” (Aloke Dey, Mathematical Reviews, May, 2016)

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