國立高雄大學圖資館 |

Language: English

Back

Pseudo-populationsa basic concept in...

Quatember, Andreas.

Pseudo-populationsa basic concept in statistical surveys /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pseudo-populationsby Andreas Quatember.
Reminder of title:	a basic concept in statistical surveys /
Author:	Quatember, Andreas.
Published:	Cham :Springer International Publishing :2015.
Description:	x, 138 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Sampling (Statistics)
Online resource:	http://dx.doi.org/10.1007/978-3-319-11785-0
ISBN:	9783319117850$q(electronic bk.)

Pseudo-populationsa basic concept in statistical surveys /
Quatember, Andreas.

Pseudo-populationsa basic concept in statistical surveys /[electronic resource] :by Andreas Quatember. - Cham :Springer International Publishing :2015. - x, 138 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783319117850$q(electronic bk.)

Standard No.: 10.1007/978-3-319-11785-0doiSubjects--Topical Terms:

182291
Sampling (Statistics)

LC Class. No.: QA276.6

Dewey Class. No.: 519.52

Pseudo-populationsa basic concept in statistical surveys /
LDR:02230nmm a2200313 a 4500 001 476903
003 DE-He213
005 20160412142501.0
006 m d
007 cr nn 008maaau
008 160526s2015 gw s 0 eng d
020 $a 9783319117850$q(electronic bk.)
020 $a 9783319117843$q(paper)
024 7 $a 10.1007/978-3-319-11785-0 $2 doi
035 $a 978-3-319-11785-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.6
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.52 $2 23
090 $a QA276.6 $b .Q2 2015
100 1 $a Quatember, Andreas. $3 731687
245 1 0 $a Pseudo-populations $h [electronic resource] : $b a basic concept in statistical surveys / $c by Andreas Quatember.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a x, 138 p. : $b ill., digital ; $c 24 cm.
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 Sampling (Statistics) $3 182291
650 0 $a Mathematical statistics. $3 181877
650 1 4 $a Statistics. $3 182057
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 274394
650 2 4 $a Methodology of the Social Sciences. $3 275266
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-11785-0
950 $a Mathematics and Statistics (Springer-11649)