| Judul | Evaluation of Statistical Matching and Selected SAE Methods / Verena Puchner |
| Pengarang | Puchner, Verena |
| Penerbitan | Wiesbaden : Springer Fachmedien Wiesbaden, 2015 |
| Deskripsi Fisik | xiii, 101 p. :ilus. ;21 cm |
| ISBN | 978-3-658-08224-6 |
| Subjek | COMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS PROBABILITY THEORY AND STOCHASTIC PROCESSES APPLICATIONS OF MATHEMATICS |
| Catatan | 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. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
http://link.springer.com/openurl?genre=book&isbn=978-3-658-08223-9 |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 192715292 | 519.5 Puc e | Baca di tempat | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000163042 | ||
| 005 | 20250627064529 | ||
| 007 | ta | ||
| 008 | 250627################|##########|#|## | ||
| 020 | # | # | $a 978-3-658-08224-6 |
| 035 | # | # | $a 0010-0625000904 |
| 082 | # | # | $a 519.5 |
| 084 | # | # | $a 519.5 Puc e |
| 100 | 1 | # | $a Puchner, Verena |
| 245 | 1 | # | $a Evaluation of Statistical Matching and Selected SAE Methods /$c Verena Puchner |
| 260 | # | # | $a Wiesbaden :$b Springer Fachmedien Wiesbaden,$c 2015 |
| 300 | # | # | $a xiii, 101 p. : $b ilus. ; $c 21 cm |
| 505 | # | # | $a 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. |
| 650 | # | # | $a APPLICATIONS OF MATHEMATICS |
| 650 | # | # | $a COMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS |
| 650 | # | # | $a PROBABILITY THEORY AND STOCHASTIC PROCESSES |
| 856 | # | # | $a http://link.springer.com/openurl?genre=book&isbn=978-3-658-08223-9 |
| 990 | # | # | $a 192715292 |
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