|
000
| 01698nam 2200313za 4500 |
|---|
| 001 | 9.839548 |
|---|
| 003 | CaOODSP |
|---|
| 005 | 20221107151631 |
|---|
| 007 | cr ||||||||||| |
|---|
| 008 | 170712s1984 onc |o f|0| 0 eng d |
|---|
| 040 | |aCaOODSP|beng |
|---|
| 043 | |an-cn--- |
|---|
| 086 | 1 |aCS11-617/85-2E-PDF |
|---|
| 100 | 1 |aHidiroglou, M. A. |
|---|
| 245 | 10|aExperiments with modified regression estimators for small domains |h[electronic resource] / |cM. A. Hidiroglou and C. E. Särndal. |
|---|
| 260 | |a[Ottawa] : |bStatistics Canada, |c1984. |
|---|
| 300 | |a[62] p. : |bfigures. |
|---|
| 490 | 1 |aWorking paper ; |v85-2 |
|---|
| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
|---|
| 500 | |a"July, 1984." |
|---|
| 504 | |aIncludes bibliographic references. |
|---|
| 520 | 3 |a"In this paper, we report on a compromise estimator which strikes a balance between the two estimators SYN and REG. This estimator, the modified regression estimator (MRE), has the advantage of a considerably reduced variance compared to the REG estimator and has a smaller Mean Squared Error than the SYN estimator in domains where the latter is badly biased. The MRE estimator eliminates the drawback with negative values mentioned above. These results are supported by Monte Carlo study involving 500 samples"--Abstract. |
|---|
| 692 | 07|2gccst|aMethodology |
|---|
| 692 | 07|2gccst|aStatistical analysis |
|---|
| 700 | 1 |aSärndal, Carl-Erik. |
|---|
| 710 | 1 |aCanada. |bStatistics Canada. |bMethodology Branch. |
|---|
| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v85-2|w(CaOODSP)9.834763 |
|---|
| 856 | 40|qPDF|s3.80 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-85-2-eng.pdf |
|---|