Probability plots and order statistics of the standard extreme value distribution
(2010) In Computational Statistics 25(2). p.257-267- Abstract
- A comparison between the ordinary least-squares estimator and the weighted least-squares estimator when the data set arises from the standard extreme value distribution is provided. Probability plot of the extreme value distribution is applied. A goodness-of-fit test of the standard extreme value distribution is introduced. The percentage points of the test statistic are investigated. The results of power study for the test statistic under various alternatives show that in most situations the proposed test statistic serves as well as do competing alternatives.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1593010
- author
- PirouziFard, MirNabi LU
- organization
- publishing date
- 2010
- type
- Contribution to specialist publication or newspaper
- publication status
- published
- subject
- keywords
- Mean and variances and covariance of order statistics - Probability plot - Standard extreme value distribution - Weighted least-squares estimator
- categories
- Popular Science
- in
- Computational Statistics
- volume
- 25
- issue
- 2
- pages
- 257 - 267
- publisher
- Springer
- external identifiers
-
- wos:000276653900005
- scopus:84878217557
- ISSN
- 0943-4062
- DOI
- 10.1007/s00180-009-0174-8
- language
- English
- LU publication?
- yes
- id
- d96b2081-a68b-46e3-a724-e287f77854f0 (old id 1593010)
- date added to LUP
- 2016-04-01 13:00:10
- date last changed
- 2025-01-03 02:56:55
@misc{d96b2081-a68b-46e3-a724-e287f77854f0, abstract = {{A comparison between the ordinary least-squares estimator and the weighted least-squares estimator when the data set arises from the standard extreme value distribution is provided. Probability plot of the extreme value distribution is applied. A goodness-of-fit test of the standard extreme value distribution is introduced. The percentage points of the test statistic are investigated. The results of power study for the test statistic under various alternatives show that in most situations the proposed test statistic serves as well as do competing alternatives.}}, author = {{PirouziFard, MirNabi}}, issn = {{0943-4062}}, keywords = {{Mean and variances and covariance of order statistics - Probability plot - Standard extreme value distribution - Weighted least-squares estimator}}, language = {{eng}}, number = {{2}}, pages = {{257--267}}, publisher = {{Springer}}, series = {{Computational Statistics}}, title = {{Probability plots and order statistics of the standard extreme value distribution}}, url = {{http://dx.doi.org/10.1007/s00180-009-0174-8}}, doi = {{10.1007/s00180-009-0174-8}}, volume = {{25}}, year = {{2010}}, }