![](/images/graphics-bg.png)
Self-Consistent Density Estimation in the Presence of Errors-in-Variables
Joint Authors
Hu, Yuping
Feng, Sanying
Zhang, Junhua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper considers the estimation of the common probability density of independent and identically distributed variables observed with additive measurement errors.
The self-consistent estimator of the density function is constructed when the error distribution is known, and a modification of the self-consistent estimation is proposed when the error distribution is unknown.
The consistency properties of the proposed estimators and the upper bounds of the mean square error and mean integrated square error are investigated under some suitable conditions.
Simulation studies are carried out to assess the performance of our proposed method and compare with the usual deconvolution kernel method.
Two real datasets are analyzed for further illustration.
American Psychological Association (APA)
Zhang, Junhua& Hu, Yuping& Feng, Sanying. 2014. Self-Consistent Density Estimation in the Presence of Errors-in-Variables. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1034135
Modern Language Association (MLA)
Zhang, Junhua…[et al.]. Self-Consistent Density Estimation in the Presence of Errors-in-Variables. Abstract and Applied Analysis No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1034135
American Medical Association (AMA)
Zhang, Junhua& Hu, Yuping& Feng, Sanying. Self-Consistent Density Estimation in the Presence of Errors-in-Variables. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1034135
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034135