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Evaluation of Statistical Matching and Selected SAE Methods
Gissing, Verena; Puchner, Verena
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Description for Evaluation of Statistical Matching and Selected SAE Methods
Paperback. Series: BestMasters. Num Pages: 114 pages, 6 black & white illustrations, 34 black & white tables, biography. BIC Classification: PBKS; PBT; PBW. Category: (G) General (US: Trade). Dimension: 210 x 148 x 7. Weight in Grams: 163.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
114
Condition
New
Series
BestMasters
Number of Pages
101
Place of Publication
Weisbaden, Germany
ISBN
9783658082239
SKU
V9783658082239
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Gissing, Verena; Puchner, Verena
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.
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