Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/266294 
Year of Publication: 
2022
Citation: 
[Journal:] Statistics in Transition new series (SiTns) [ISSN:] 2450-0291 [Volume:] 23 [Issue:] 1 [Publisher:] Sciendo [Place:] Warsaw [Year:] 2022 [Pages:] 39-54
Publisher: 
Sciendo, Warsaw
Abstract: 
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.
Subjects: 
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 of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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