Pseudo-Populations | A Basic Concept in Statistical Surveys

Andreas Quatember

ISBN 10: 3319352806 / ISBN 13: 9783319352800

Published by Springer International Publishing, 2016

About this Item

Pseudo-Populations | A Basic Concept in Statistical Surveys | Andreas Quatember | Taschenbuch | x | Englisch | 2016 | Springer International Publishing | EAN 9783319352800 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 109581840

Bibliographic Details

• Title: Pseudo-Populations | A Basic Concept in Statistical Surveys
• Publisher: Springer International Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3319352806
• ISBN 13: 9783319352800
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 9D millimeters 235 millimeters width by 155 millimeters height by 9 millimeters depth
• Weight: 236 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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 andapplying it in teaching and research.

About the Author

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”.