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Uniform Asymptotic Normality of Likelihood Ratio Statistics in Competing Risks Model Under Random Censoring
Current Issue
Volume 3, 2015
Issue 5 (October)
Pages: 33-37   |   Vol. 3, No. 5, October 2015   |   Follow on         
Paper in PDF Downloads: 51   Since Nov. 3, 2015 Views: 1590   Since Nov. 3, 2015
Authors
[1]
Abdushukurov А. А., Dpt. Probability Theory and Mathematical Statistics, National University of Uzbekistan, Tashkent, Uzbekistan.
[2]
Nurmukhamedova N. S., Dpt. Probability Theory and Mathematical Statistics, National University of Uzbekistan, Tashkent, Uzbekistan.
Abstract
One of the basic properties of likelihood ratio statistics is the local asymptotic normality and uniform asymptotic normality. They are useful for estimation theory and hypothesis testing. The property of the uniformly asymptotically normality of likelihood ratio statistics is proved in this paper in competing risks model under random censoring by nonobserving intervals.
Keywords
Competing Risks, Random Censoring, Likelihood Ratio, Local and Uniform Asymptotically Normality, Uniform Asymptotical Normality
Reference
[1]
Abdushukurov A. A. Statistics of incomplete observations. Tashkent. University Press. 2009. 296 p. (In Russian).
[2]
Abdushukurov A. A., Nurmuhamedova N.S. Approximation of the likelihood ratio statistics in competing risks model under random censorship from both sides, ACTA NUUz N. 4. 2011. p.162-172. (In Russian).
[3]
Abdushukurov A. A., Nurmuhamedova N. S. Asymptotics of the likelihood ratio statistics in competing risks model under multiple right censorship on the right, In: Statistical Methods of estimation and Hypothesis Testing. Perm. Russia. Perm State University Press. Issue 21. 2012. p.4-15. (In Russian).
[4]
Abdushukurov A. A., Nurmuhamedova N. S. Locally asymptotically normality in competing risks model, Uzbek Mathematical Journal N.2. 2012.p.5-12. (InRussian).
[5]
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Abdushukurov A. A., Nurmuhamedova N. S. Locally asymptotically normality of the family of distributions by incomplete observations. //Journal of Siberian Federal University. Mathematics & Physics.v.7. N.2. 2014. p.141-154.
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