๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Non-parametric estimation of conditional quantiles

โœ Scribed by M. Samanta


Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
362 KB
Volume
7
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A Kernel Estimator of a Conditional Quan
โœ Xiaojing Xiang ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 319 KB

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.

Non-parametric estimates of overlap
โœ Robert A. Stine; Joseph F. Heyse ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 160 KB ๐Ÿ‘ 1 views
A kernel-based parametric method for con
โœ Gang Fu; Frank Y. Shih; Haimin Wang ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 632 KB

A conditional density function, which describes the relationship between response and explanatory variables, plays an important role in many analysis problems. In this paper, we propose a new kernelbased parametric method to estimate conditional density. An exponential function is employed to approx