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A Variance Shift Model for Detection of Outliers in the Linear Measurement Error Model
Joint Authors
Babadi, Babak
Rasekh, Abdolrahman
Rasekhi, Ali Akbar
Zare, Karim
Zadkarami, Mohammad Reza
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We present a variance shift model for a linear measurement error model using the corrected likelihood of Nakamura (1990).
This model assumes that a single outlier arises from an observation with inflated variance.
The corrected likelihood ratio and the score test statistics are proposed to determine whether the i th observation has an inflated variance.
A parametric bootstrap procedure is used to obtain empirical distributions of the test statistics and a simulation study has been used to show the performance of proposed tests.
Finally, a real data example is given for illustration.
American Psychological Association (APA)
Babadi, Babak& Rasekh, Abdolrahman& Rasekhi, Ali Akbar& Zare, Karim& Zadkarami, Mohammad Reza. 2014. A Variance Shift Model for Detection of Outliers in the Linear Measurement Error Model. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1013850
Modern Language Association (MLA)
Babadi, Babak…[et al.]. A Variance Shift Model for Detection of Outliers in the Linear Measurement Error Model. Abstract and Applied Analysis No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1013850
American Medical Association (AMA)
Babadi, Babak& Rasekh, Abdolrahman& Rasekhi, Ali Akbar& Zare, Karim& Zadkarami, Mohammad Reza. A Variance Shift Model for Detection of Outliers in the Linear Measurement Error Model. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1013850
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1013850