|
000
| 01820cam 2200337za 4500 |
|---|
| 001 | 9.841397 |
|---|
| 003 | CaOODSP |
|---|
| 005 | 20221107152058 |
|---|
| 007 | cr ||||||||||| |
|---|
| 008 | 170810s1997 onc |o f|0| 0 eng d |
|---|
| 040 | |aCaOODSP|beng |
|---|
| 043 | |an-cn--- |
|---|
| 086 | 1 |aCS11-619/97-6E-PDF |
|---|
| 100 | 1 |aRao, J. N. K. |
|---|
| 245 | 12|aA ridge-shrinkage method for range-restricted weight calibration in survey sampling |h[electronic resource] / |cJ. N. K. Rao and A. C. Singh. |
|---|
| 260 | |a[Ottawa] : |bStatistics Canada, |c1997. |
|---|
| 300 | |a11 p. |
|---|
| 490 | 1 |aWorking paper ; |v97-6 |
|---|
| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
|---|
| 500 | |a"HSMD-97-006E." |
|---|
| 500 | |a"December 1997." |
|---|
| 504 | |aIncludes bibliographic references. |
|---|
| 520 | 3 |a"The generalized regression (GR) method is often used to adjust sampling weights to satisfy benchmark constraints (BC), but some of the calibrated weights may not satisfy range restrictions (RR). BC are needed in the interest of efficiency due to correlated auxiliary information and also to make estimates internally consistent with published population totals, while RR are needed to avoid extreme weights which may render domain estimates inefficient. To address this problem, several iterative methods that attempt to meet both RR and BC have been proposed in the literature"--Abstract. |
|---|
| 692 | 07|2gccst|aMethodology |
|---|
| 692 | 07|2gccst|aStatistical analysis |
|---|
| 692 | 07|2gccst|aSurveys |
|---|
| 700 | 1 |aSingh, Avinash C. |
|---|
| 710 | 1 |aCanada. |bStatistics Canada. |bMethodology Branch. |
|---|
| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v97-6|w(CaOODSP)9.834763 |
|---|
| 856 | 40|qPDF|s1.74 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-619-97-6-eng.pdf |
|---|