Some Imputation Methods to Minimize the Effect of Non Response in Two-Occasion Rotation Patterns
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Publication:3064070
DOI10.1080/03610920903245137zbMath1202.62012OpenAlexW2022058225MaRDI QIDQ3064070
Jaishree Prabha Karna, Garib Nath Singh
Publication date: 20 December 2010
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920903245137
imputationmissing dataoptimum replacement policysuccessive samplingnon responsechain-type regression
Related Items (9)
Some imputation methods to compensate with non-response for estimation of population mean in two-occasion successive sampling ⋮ Some imputation methods to deal with the problems of missing data in two-occasion successive sampling ⋮ Estimation of population variance in successive sampling in presence and absence of measurement error ⋮ General estimation procedures for population mean in successive cluster sampling in presence of scrambled response situation ⋮ A general estimation technique of population mean under stratified successive sampling in presence of random scrambled response and non-response ⋮ Estimation of population mean using imputation methods for missing data under two-phase sampling design ⋮ Unnamed Item ⋮ Effective Rotation Patterns Under Non Response in Two-Occasion Successive Sampling ⋮ Estimation of population mean in successive sampling under super-population model in presence of random non response situations
Cites Work
- Unnamed Item
- Sample rotation method with auxiliary variable
- Successive Sampling Using Auxiliary Information on Both the Occasions
- Search of Good Rotation Patterns to Improve the Precision of Estimates at Current Occasion
- Successive Sampling With $p (p \geqq 1)$ Auxiliary Variables
- Rotation Designs for Sampling on Repeated Occasions
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