Evaluation of statistical matching and selected SAE methods: using micro census and EU-SILC data
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Electronic eBook |
| Language: | English |
| Published: |
Wiesbaden
Springer Spektrum
[2015]
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| Series: | BestMasters
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| Subjects: | |
| Online Access: | FLA01 FWS01 FWS02 UBM01 UBW01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource (XIII, 101 Seiten) Diagramme |
| ISBN: | 9783658082246 |
| DOI: | 10.1007/978-3-658-08224-6 |
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Record in the Search Index
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| adam_text | EVALUATION OF STATISTICAL MATCHING AND SELECTED SAE METHODS
/ PUCHNER, VERENA
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
REGRESSION MODELS INCLUDING SELECTED SMALL AREA METHODS
STATISTICAL MATCHING
APPLICATION TO POVERTY ESTIMATION USING EU-SILC AND MICRO CENSUS DATA
BOOTSTRAP METHODS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
EVALUATION OF STATISTICAL MATCHING AND SELECTED SAE METHODS
/ PUCHNER, VERENA
: 2015
ABSTRACT / INHALTSTEXT
VERENA PUCHNER EVALUATES AND COMPARES STATISTICAL MATCHING AND SELECTED
SAE METHODS. DUE TO THE FACT THAT POVERTY ESTIMATION AT REGIONAL LEVEL
BASED ON EU-SILC SAMPLES IS NOT OF ADEQUATE ACCURACY, THE QUALITY OF THE
ESTIMATIONS SHOULD BE IMPROVED BY ADDITIONALLY INCORPORATING MICRO
CENSUS DATA. THE AIM IS TO FIND THE BEST METHOD FOR THE ESTIMATION OF
POVERTY IN TERMS OF SMALL BIAS AND SMALL VARIANCE WITH THE AID OF A
SIMULATED ARTIFICIAL CLOSE-TO-REALITY POPULATION. VARIABLES OF
INTEREST ARE IMPUTED INTO THE MICRO CENSUS DATA SETS WITH THE HELP OF
THE EU-SILC SAMPLES THROUGH REGRESSION MODELS INCLUDING SELECTED
UNIT-LEVEL SMALL AREA METHODS AND STATISTICAL MATCHING METHODS. POVERTY
INDICATORS ARE THEN ESTIMATED. THE AUTHOR EVALUATES AND COMPARES THE
BIAS AND VARIANCE FOR THE DIRECT ESTIMATOR AND THE VARIOUS METHODS. THE
VARIANCE IS DESIRED TO BE REDUCED BY THE LARGER SAMPLE SIZE OF THE MICRO
CENSUS. CONTENTS REGRESSION MODELS INCLUDING SELECTED SMALL AREA
METHODS STATISTICAL MATCHING APPLICATION TO POVERTY ESTIMATION USING
EU-SILC AND MICRO CENSUS DATA BOOTSTRAP METHODS TARGET GROUPS
RESEARCHERS, STUDENTS, AND PRACTITIONERS IN THE FIELDS OF STATISTICS,
OFFICIAL STATISTICS, AND SURVEY STATISTICS THE AUTHOR VERENA PUCHNER
OBTAINED HER MASTER’S DEGREE AT TECHNICAL UNIVERSITY OF VIENNA UNDER
THE SUPERVISION OF PRIV.-DOZ. DIPL.-ING. DR. TECHN. MATTHIAS TEMPL. AT
PRESENT, SHE WORKS AS A DATA MINER AND CONSULTANT
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| doi_str_mv | 10.1007/978-3-658-08224-6 |
| format | Thesis Electronic eBook |
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| id | DE-604.BV042233588 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:38:59Z |
| institution | BVB |
| isbn | 9783658082246 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027671843 |
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| spellingShingle | Puchner, Verena Evaluation of statistical matching and selected SAE methods using micro census and EU-SILC data Informatik Mathematik Computer science / Mathematics Distribution (Probability theory) Mathematics |
| subject_GND | (DE-588)4113937-9 |
| title | Evaluation of statistical matching and selected SAE methods using micro census and EU-SILC data |
| title_auth | Evaluation of statistical matching and selected SAE methods using micro census and EU-SILC data |
| title_exact_search | Evaluation of statistical matching and selected SAE methods using micro census and EU-SILC data |
| title_full | Evaluation of statistical matching and selected SAE methods using micro census and EU-SILC data Verena Puchner |
| title_fullStr | Evaluation of statistical matching and selected SAE methods using micro census and EU-SILC data Verena Puchner |
| title_full_unstemmed | Evaluation of statistical matching and selected SAE methods using micro census and EU-SILC data Verena Puchner |
| title_short | Evaluation of statistical matching and selected SAE methods |
| title_sort | evaluation of statistical matching and selected sae methods using micro census and eu silc data |
| title_sub | using micro census and EU-SILC data |
| topic | Informatik Mathematik Computer science / Mathematics Distribution (Probability theory) Mathematics |
| topic_facet | Informatik Mathematik Computer science / Mathematics Distribution (Probability theory) Mathematics Hochschulschrift |
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