Testing for multisample generalized Lorenz curves dominance. Issue 5 (4th July 2021)
- Record Type:
- Journal Article
- Title:
- Testing for multisample generalized Lorenz curves dominance. Issue 5 (4th July 2021)
- Main Title:
- Testing for multisample generalized Lorenz curves dominance
- Authors:
- Rattan, Preety
Arora, Sangeeta
Mahajan, Kalpana K. - Abstract:
- Abstract: The generalized Lorenz curve is simply the ordinary Lorenz curve scaled up by the mean and its scaling reveals a dominance relationship that is not apparent from an examination of means and Lorenz curve on their own. Second order stochastic dominance is equivalent to generalized Lorenz dominance as well and discussed in past. [1] proposed test for generalized Lorenz dominance over a specified interval of interest. However, no test has been discussed for testing multisample generalized Lorenz dominance. We propose a test for testing multisample generalized Lorenz dominance using two different approaches viz. specified interval approach and confidence interval approach. The simulation study is also carried out to find the power of the proposed test.
- Is Part Of:
- Journal of statistics & management systems. Volume 24:Issue 5(2021)
- Journal:
- Journal of statistics & management systems
- Issue:
- Volume 24:Issue 5(2021)
- Issue Display:
- Volume 24, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 24
- Issue:
- 5
- Issue Sort Value:
- 2021-0024-0005-0000
- Page Start:
- 895
- Page End:
- 915
- Publication Date:
- 2021-07-04
- Subjects:
- 62F03 -- 62F05 -- 62-XX -- 62P20 -- 62F03
Confidence interval -- Generalized Lorenz curve -- Multisample -- Specified interval
Statistics -- Periodicals
Mathematical models -- Periodicals
Mathematical models
Statistics
Periodicals
519.5 - Journal URLs:
- http://www.tandfonline.com/loi/tsms20 ↗
- DOI:
- 10.1080/09720510.2020.1776462 ↗
- Languages:
- English
- ISSNs:
- 0972-0510
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24956.xml