Interval Estimation for Extreme Value Parameter with Censored Data
Joint Authors
Mathy, Katlyn
Lee, Eun-Joo
Elliott, David
Lee, Seung-Hwan
Walker, Dane
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-06-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The Weibull distribution is widely used in the parametric analysis of lifetime data.
In place of the Weibull distribution, it is often more convenient to work with the equivalent extreme value distribution, which is the logarithm of the Weibull distribution.
The main advantage in working with the extreme value distribution is that unlike the Weibull distribution, the extreme value distribution has location and scale parameters.
This paper is devoted to a discussion of statistical inferences for the extreme value distribution with censored data.
Numerical simulations are performed to examine the finite sample behaviors of the estimators of the parameters.
These procedures are then applied to real-world data.
American Psychological Association (APA)
Lee, Eun-Joo& Walker, Dane& Elliott, David& Mathy, Katlyn& Lee, Seung-Hwan. 2011. Interval Estimation for Extreme Value Parameter with Censored Data. ISRN Applied Mathematics،Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-490634
Modern Language Association (MLA)
Lee, Eun-Joo…[et al.]. Interval Estimation for Extreme Value Parameter with Censored Data. ISRN Applied Mathematics No. 2011 (2011), pp.1-12.
https://search.emarefa.net/detail/BIM-490634
American Medical Association (AMA)
Lee, Eun-Joo& Walker, Dane& Elliott, David& Mathy, Katlyn& Lee, Seung-Hwan. Interval Estimation for Extreme Value Parameter with Censored Data. ISRN Applied Mathematics. 2011. Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-490634
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490634