Missing data estimation based on the chaining technique in survey sampling
Year of publication: |
2022
|
---|---|
Authors: | Thakur, Narendra Singh ; Shukla, Diwakar |
Published in: |
Statistics in transition : an international journal of the Polish Statistical Association. - Warszawa : GUS, ISSN 2450-0291, ZDB-ID 2235641-1. - Vol. 23.2022, 4, p. 91-111
|
Subject: | estimation | missing data | chaining | imputation | bias | mean squared error (MSE) | factor type (F-T) | chain type estimator | double sampling | Schätztheorie | Estimation theory | Stichprobenerhebung | Sampling | Systematischer Fehler | Bias | Statistischer Fehler | Statistical error | Datenqualität | Data quality |
-
Weighting and imputation for missing data in a cost and earnings fishery survey
Lew, Daniel K., (2015)
-
Assessing cohort aggregation to minimise bias in pseudo-panels
Khan, Rumman, (2018)
-
Weighting for non-monotonic response pattern in longitudinal surveys
Sadig, Husam, (2014)
- More ...
-
Sampling-based estimation method for parameter estimation in big data business era
Alim, Abdul, (2020)
-
F-T estimator under two-phase sampling
Shukla, Diwakar, (2002)
-
NDPD : an improved initial centroid method of partitional clustering for big data mining
Pandey, Kamlesh Kumar, (2023)
- More ...