We give a complete description of the rate of strong consistency of the scaled and unscaled total time on test curves, which are fundamental notions in the statistical theory of reliability and life testing. The proof is crucially based on the general Vervaat process.
On the rate of strong consistency of Lorenz curves
✍ Scribed by Miklós Csörgö; Ričardas Zitikis
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 368 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
✦ Synopsis
Assuming the finiteness of only the second moment, we prove that LIL for Lorenz curves holds true provided that the underlying distribution function and its inverse are continuous. The proof is crucially based on a limit theorem for the general Vervaat process.
📜 SIMILAR VOLUMES
## Abstract Contrary to Burrell's statements, Egghe's theory of continuous concentration does include the construction of a standard Lorenz curve.
In this paper almost sure convergence results are derived for least squares identification algorithms. The convergence conditions expressed in terms of the measurable signal model states derived for asymptotically stable signal models and possibly nonstationary processes are in essence the same as t