Pseudo-Populations A Basic Concept in Statistical Surveys /

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; a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Quatember, Andreas (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Quatember, Andreas.  |e author. 
245 1 0 |a Pseudo-Populations  |h [electronic resource] :  |b A Basic Concept in Statistical Surveys /  |c by Andreas Quatember. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a X, 138 p. 32 illus.  |b online resource. 
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505 0 |a Statistical Surveys -- The Pseudo-Population Concept -- Nonresponse and Untruthful Answering -- Simulation Studies in Survey Sampling -- The Bootstrap Method in Survey Sampling -- Generalized Randomized Response Questioning Designs -- A Unified Framework for Statistical Disclosure Control -- References -- Subject Index. 
520 |a 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. 
650 0 |a Statistics. 
650 0 |a Social sciences. 
650 1 4 |a Statistics. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. 
650 2 4 |a Methodology of the Social Sciences. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319117843 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-11785-0  |z Full Text via HEAL-Link 
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950 |a Mathematics and Statistics (Springer-11649)