A kernel-type estimator for generalized quantiles
✍ Scribed by Noël Veraverbeke
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 245 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Let (X 1 , Y 1 ), (X 2 , Y 2 ), ..., be two-dimensional random vectors which are independent and distributed as (X, Y). The asymptotic normality and a law of the iterated logarithm are obtained.
The Generalized Extreme Value distribution (GEVD) was introduced by Jenkinson (1955; Quarterly Journal of the Meteorological Society 81, 158±171) as a model for extremes of natural phenomena such as sea level, rainfall, river heights and air pollutants. The GEVD is a three-parameter family with a lo
## Abstract There may be experiments where due to misadventure or logistic or ethical reasons final measurements on all experimental units cannot be obtained. If at least 50% of the final measurements have been taken estimates of the lower quantiles and the median can be obtained. For such curtaile