Interval Estimation for Extreme Value Parameter with Censored Data

Joint Authors

Mathy, Katlyn
Lee, Eun-Joo
Elliott, David
Lee, Seung-Hwan
Walker, Dane

Source

ISRN Applied Mathematics

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

Mathematics

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