Estimation of the survival function for stationary associated processes
Let {Xn, n [greater-or-equal, slanted] 1} be a stationary sequence of associated random variables with survival function (x) = P[X1 > x]. The empirical survival function n(x) based on X1, X2,..., Xn is proposed as an estimator for (x). Strong consistency, pointwise as well as uniform, and asymptotic normality of n(x) are discussed.
Year of publication: |
1991
|
---|---|
Authors: | Bagai, Isha ; Prakasa Rao, B. L. S. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 12.1991, 5, p. 385-391
|
Publisher: |
Elsevier |
Keywords: | Survival function associated sequences uniform strong consistency asymptotic normality |
Saved in:
Saved in favorites
Similar items by person
-
Nonparametric density estimation for stochastic processes from sampled data
Prakasa Rao, Bhagavatula L. S., (1990)
-
Kernel-type density and failure rate estimation for associated sequences
Bagai, Isha, (1995)
-
Kernel-type density and failure rate estimation for associated sequences
Bagai, Isha, (1995)
- More ...