Estimation of the Survival Function for Negatively Dependent Random Variables
Let be a stationary sequence of pair wise negative quadrant dependent random variables with survival function {,1}nXn?F(x)=P[X>x]. The empirical survival function ()nFx based on 12,,...,nXXX is proposed as an estimator for ()nFx. Strong consistency and point wise as well as uniform of ()nFx are d...
Saved in:
| Format: | Article |
|---|---|
| Language: | English |
| Published: |
University of Tehran
2006-09-01
|
| Series: | Journal of Sciences, Islamic Republic of Iran |
| Online Access: | https://jsciences.ut.ac.ir/article_31765_30ef2b6a0c11467714d6370b098c3e02.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Complete Moment Convergence for Negatively Dependent Sequences of Random Variables
by: Qunying Wu, et al.
Published: (2016-01-01) -
Strong Laws for Weighted Sums of Negative Dependent Random Variables
Published: (2005-09-01) -
THE ALMOST SURE CONVERGENCE OF
WEIGHTED SUMS OF NEGATIVELY
DEPENDENT RANDOM VARIABLES
Published: (1999-06-01) -
Asymptotic Behavior of Weighted Sums of Weakly Negative Dependent Random Variables
Published: (2008-12-01) -
Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables
Published: (2006-06-01)