Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/266294 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Statistics in Transition new series (SiTns) [ISSN:] 2450-0291 [Volume:] 23 [Issue:] 1 [Publisher:] Sciendo [Place:] Warsaw [Year:] 2022 [Pages:] 39-54
Verlag: 
Sciendo, Warsaw
Zusammenfassung: 
In surveying finite populations, the simplest strategy to estimate a population total with- out bias is to employ Simple Random Sampling (SRS) with replacement (SRSWR) and the expansion estimator based on it. Anything other than that including SRS Without Replace- ment (SRSWOR) and usage of the expansion estimator is a complex strategy. We examine here (1) if from a complex sample at hand a gain in efficiency may be unbiasedly estimated comparing the "rival population total-estimators" for the competing strategies and (2) how suitable model-expected variances of rival estimators compete in magnitude as examined numerically through simulations.
Schlagwörter: 
Des Raj and symmetrized Des Raj estimator and associated variance
Hansen-Hurwitz estimation and variance
Hartley-Ross
Horvitz-Thompson
Lahiri-Midzuno-Sen,Murthy
Rao-Hartley-Cochran procedures vis-a-vis SRSWOR and SRSWR
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by-sa Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe





Publikationen in EconStor sind urheberrechtlich geschützt.