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Record Nr. |
UNINA9910300250403321 |
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Autore |
Quatember Andreas |
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Titolo |
Pseudo-Populations : A Basic Concept in Statistical Surveys / / by Andreas Quatember |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (145 p.) |
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Disciplina |
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Soggetti |
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Statistics |
Social sciences - Statistical methods |
Sociology - Methodology |
Statistical Theory and Methods |
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
Sociological Methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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, |
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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. |
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