Welcome to Open Science
Contact Us
Home Books Journals Submission Open Science Join Us News
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: 1486   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]
Abdushukurov A. A., Nurmuhamedova N. S. Local approximate normality of likelihood ratio statistics in competing ricks model under random censorship fromboth sides. // Far East Journal of Theoretical Statistics.v.42. N.2. 2013. p. 107-122.
[6]
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.
[7]
Ibragimov I. A, Khas’minskii R. Z. Asymptotic theory of estimation, M.: Nauka. 1979. 527p. (In Russian).
[8]
Hajek J. Local asymptotic minimax and admissibilityin estimation // Proc. Sixth. BerkeleySymp. on Math. Statist. and Prob. -1972. -V.1. -P. 175-194.
[9]
Leman E. Testing of statistical hypothesis, M.: Nauka. 1964. (In Russian).
[10]
Le Cam L. On some asymptotic properties of the maximum likelihood estimates and related Bayes estimates.// Univ. California Publ. Statist. 1953. v.1. p.277-330.
[11]
Rusas J. Contiguity of probability measures, M.: Mir. 1975. 254p. (In Russian).
[12]
Wald A. Tests of statistical hypothesis concerning several parameters, when the number of observations is large// Trans. Amer. Math. Soc. 54. 1943. p.426-482.
Open Science Scholarly Journals
Open Science is a peer-reviewed platform, the journals of which cover a wide range of academic disciplines and serve the world's research and scholarly communities. Upon acceptance, Open Science Journals will be immediately and permanently free for everyone to read and download.
CONTACT US
Office Address:
228 Park Ave., S#45956, New York, NY 10003
Phone: +(001)(347)535 0661
E-mail:
LET'S GET IN TOUCH
Name
E-mail
Subject
Message
SEND MASSAGE
Copyright © 2013-, Open Science Publishers - All Rights Reserved