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Boundary Bias Correction Using Weighting Method in Presence of Nonresponse in Two-Stage Cluster Sampling
Joint Authors
Bii, Nelson Kiprono
Odhiambo, John
Onyango, Christopher Ouma
Source
Journal of Probability and Statistics
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Kernel density estimators due to boundary effects are often not consistent when estimating a density near a finite endpoint of the support of the density to be estimated.
To address this, researchers have proposed the application of an optimal bandwidth to balance the bias-variance trade-off in estimation of a finite population mean.
This, however, does not eliminate the boundary bias.
In this paper weighting method of compensating for nonresponse is proposed.
Asymptotic properties of the proposed estimator of the population mean are derived.
Under mild assumptions, the estimator is shown to be asymptotically consistent.
American Psychological Association (APA)
Bii, Nelson Kiprono& Onyango, Christopher Ouma& Odhiambo, John. 2019. Boundary Bias Correction Using Weighting Method in Presence of Nonresponse in Two-Stage Cluster Sampling. Journal of Probability and Statistics،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1186859
Modern Language Association (MLA)
Bii, Nelson Kiprono…[et al.]. Boundary Bias Correction Using Weighting Method in Presence of Nonresponse in Two-Stage Cluster Sampling. Journal of Probability and Statistics No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1186859
American Medical Association (AMA)
Bii, Nelson Kiprono& Onyango, Christopher Ouma& Odhiambo, John. Boundary Bias Correction Using Weighting Method in Presence of Nonresponse in Two-Stage Cluster Sampling. Journal of Probability and Statistics. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1186859
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186859