Empirical likelihood confidence intervals for dependent duration data
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 178-198 |
| Journal / Publication | Econometric Theory |
| Volume | 27 |
| Issue number | 1 |
| Publication status | Published - Feb 2011 |
| Externally published | Yes |
Link(s)
Abstract
Three types of confidence intervals are developed for a general class of functionals of a survival distribution based on censored dependent data. The confidence intervals are constructed via asymptotic normality (Wald's method), the empirical likelihood (EL) method, and the blockwise EL method in which sample means over blocks of observations are used in place of the original data. Asymptotic results are derived to accurately calibrate the various procedures, and their performance is evaluated in a simulation study. The problem of the choice of the block size is also discussed. © Cambridge University Press 2010.
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Citation Format(s)
Empirical likelihood confidence intervals for dependent duration data. / El Ghouch, Anouar; Van Keilegom, Ingrid; McKeague, Ian W.
In: Econometric Theory, Vol. 27, No. 1, 02.2011, p. 178-198.
In: Econometric Theory, Vol. 27, No. 1, 02.2011, p. 178-198.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
