Pseudo-Populations : A Basic Concept in Statistical Surveys

Andreas Quatember

ISBN 10: 331911784X / ISBN 13: 9783319117843

Verlag: Springer International Publishing, 2015

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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-populationsactually 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-populationconcept andapplying it in teaching and research.

Bestandsnummer des Verkäufers 9783319117843

Bibliografische Details

• Titel: Pseudo-Populations : A Basic Concept in Statistical Surveys
• Verlag: Springer International Publishing
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 331911784X
• ISBN-13: 9783319117843
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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”.