A general class of improved population variance estimators under non-sampling errors using calibrated weights in stratified sampling
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
A general class of improved population variance estimators under non-sampling errors using calibrated weights in stratified sampling ; volume:14 ; number:1 ; day:5 ; month:2 ; year:2024 ; pages:1-10 ; date:12.2024
Scientific reports ; 14, Heft 1 (5.2.2024), 1-10, 12.2024
- Urheber
-
Pandey, M. K.
Singh, G. N.
Zaman, Tolga
Mutairi, Aned Al
Mustafa, Manahil SidAhmed
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-47234-1
- URN
-
urn:nbn:de:101:1-2024041510165243008132
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:54 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Pandey, M. K.
- Singh, G. N.
- Zaman, Tolga
- Mutairi, Aned Al
- Mustafa, Manahil SidAhmed
- SpringerLink (Online service)
Ähnliche Objekte (12)
Partitions for stratified sampling
Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design
Generalized Chain Exponential-Type Estimators under Stratified Two-Phase Sampling with Subsampling the Nonrespondents
Robust Lavallee-Hidiroglou stratified sampling strategy
Sampling weights in multilevel modelling: an investigation using PISA sampling structures
Developing calibration estimators for population mean using robust measures of dispersion under stratified random sampling
Variance estimation in stratified adaptive cluster sampling
On stratified sampling for estimating coalitional values
Stratified split sampling of electronic health records
Estimating Gini Ratios with Varying Proportionate Stratified Sampling
The Advantage and Disadvantage of Implicitly Stratified Sampling
Federated learning based on stratified sampling and regularization
Partitions for stratified sampling
Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design
Generalized Chain Exponential-Type Estimators under Stratified Two-Phase Sampling with Subsampling the Nonrespondents
Robust Lavallee-Hidiroglou stratified sampling strategy
Sampling weights in multilevel modelling: an investigation using PISA sampling structures
Developing calibration estimators for population mean using robust measures of dispersion under stratified random sampling
Variance estimation in stratified adaptive cluster sampling
On stratified sampling for estimating coalitional values
Stratified split sampling of electronic health records
Estimating Gini Ratios with Varying Proportionate Stratified Sampling
The Advantage and Disadvantage of Implicitly Stratified Sampling
Federated learning based on stratified sampling and regularization
Partitions for stratified sampling
Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design
Generalized Chain Exponential-Type Estimators under Stratified Two-Phase Sampling with Subsampling the Nonrespondents
Robust Lavallee-Hidiroglou stratified sampling strategy
Sampling weights in multilevel modelling: an investigation using PISA sampling structures
Developing calibration estimators for population mean using robust measures of dispersion under stratified random sampling
Variance estimation in stratified adaptive cluster sampling
On stratified sampling for estimating coalitional values
Stratified split sampling of electronic health records
Estimating Gini Ratios with Varying Proportionate Stratified Sampling
The Advantage and Disadvantage of Implicitly Stratified Sampling