๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On the convergence of kernel estimators of probability density functions

โœ Scribed by Albert E. Rust; Chris P. Tsokos

Publisher
Springer Japan
Year
1981
Tongue
English
Weight
593 KB
Volume
33
Category
Article
ISSN
0020-3157

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Optimal convergence properties of kernel
Optimal convergence properties of kernel density estimators without differentiability conditions
โœ R. J. Karunamuni; K. L. Mehra ๐Ÿ“‚ Article ๐Ÿ“… 1991 ๐Ÿ› Springer Japan ๐ŸŒ English โš– 983 KB

Let X1, X2,..., Xn be independent observations from an (unknown) absolutely continuous univariate distribution with density f and let be a kernel estimator of f(x) at the point x, -oc < x < c~, with h = hn (hn ~ 0 and nhn --+ oc, as n --+ oc) the bandwidth and K a kernel function of order r. "Optim

Asymptotic normality of the kernel estim
Asymptotic normality of the kernel estimate of a probability density function under association
โœ George G. Roussas ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 123 KB

The sole purpose of this paper is to establish asymptotic normality of the usual kernel estimate of the marginal probability density function of a strictly stationary sequence of associated random variables. In much of the discussions and derivations, the term association is used to include both pos