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Bootstrap Variance Estimation of Spatially Integrated Estimator of Finite Population Total in Presence of Missing Observations

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Title Bootstrap Variance Estimation of Spatially Integrated Estimator of Finite Population Total in Presence of Missing Observations
Not Available
 
Creator N.C. Paul
Anil Rai
Tauqueer Ahmad
Ankur Biswas
Prachi Misra Sahoo
 
Subject Geographically weighted regression, Proportional spatial bootstrap, Spatially integrated estimator, Spatial imputation, Spatial simulation
 
Description Not Available
Large scale surveys, for example, household surveys, are the most important components in every national
statistics system. These types of large-scale surveys are the primary and sometimes unique source of data
for measuring many of the variables relating to Sustainable Development Goals (SDG) indicators. The
problem of missing observations is very common in large-scale surveys. Missing data occur in surveys
when an element of the target population is not observed/included in the sampling frame of the survey.
This seriously affects not only the accuracy of the estimates but also the reliability of the estimates of
population parameters. Imputation is a very popular method for dealing with the problem of missing
data. In this article, a Proportional Spatial Bootstrap (PSB) variance estimation method for the Spatially
Integrated (SI) estimator of finite population total in the presence of missing observations has been
proposed utilizing various spatial imputation procedures to impute missing observations in the observed
sample. The statistical properties of different spatial imputation techniques under the proposed PSB method
of variance estimation were studied empirically through a spatial simulation study. The empirical results
reveals that the proposed PSB method is quite efficient for variance estimation while dealing with missing
observations.
Not Available
 
Date 2023-07-05T09:19:40Z
2023-07-05T09:19:40Z
2022-09-30
 
Type Journal
 
Identifier Paul, N.C., Rai, A., Ahmad, T., Biswas, A.* and Sahoo, P.M. (2022). Bootstrap Variance Estimation of Spatially Integrated Estimator of Finite Population Total in Presence of Missing Observations. Journal of Community Mobilization and Sustainable Development, 17(3), 1039-1048.
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/79677
 
Language English
 
Relation Not Available;
 
Publisher Journal of Community Mobilization and Sustainable Development