AbstractBased on a random sample from a population with (unknown) probability density f, this note exhibits a class of statistics f(p) for each fixed integer p ≧ 0. It is shown that f(p) are uniformly strongly consistent estimators of f(p), the pth order derivative of f, if and only if f(p) is bounded and uniformly continuous
Let U and V be independent random variables with continuous density function on the interval (0, 1)....
Under mild conditions, strong consistency of the Bayes estimator of the density is proved. Moreover,...
We consider the high order moments estimator of the frontier of a random pair, introduced by [S. Gir...
AbstractBased on a random sample from a population with (unknown) probability density f, this note e...
AbstractOn the basis of a random sample of size n on an m-dimensional random vector X, this note pro...
On the basis of a random sample of size n on an m-dimensional random vector X, this note proposes a ...
Under certain conditions it is shown that uniform continuity of the generalized failure rate functio...
A class of estimators of a distribution function, which includes the empirical distribution function...
ABSTRACT. – Let fn denote the usual kernel density estimator in several dimensions. It is shown that...
This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta...
This paper presents a set of rate of uniform consistency results for kernel estimators of density fu...
This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta...
The authors give the exact asymptotic behaviour of the expected average absolute error of a beta ker...
SUMMARY. We apply the strong approximation technique to study the strong uniform consistency for ker...
Let U and V be independent random variables with continuous density function on the interval (0, 1)....
Let U and V be independent random variables with continuous density function on the interval (0, 1)....
Under mild conditions, strong consistency of the Bayes estimator of the density is proved. Moreover,...
We consider the high order moments estimator of the frontier of a random pair, introduced by [S. Gir...
AbstractBased on a random sample from a population with (unknown) probability density f, this note e...
AbstractOn the basis of a random sample of size n on an m-dimensional random vector X, this note pro...
On the basis of a random sample of size n on an m-dimensional random vector X, this note proposes a ...
Under certain conditions it is shown that uniform continuity of the generalized failure rate functio...
A class of estimators of a distribution function, which includes the empirical distribution function...
ABSTRACT. – Let fn denote the usual kernel density estimator in several dimensions. It is shown that...
This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta...
This paper presents a set of rate of uniform consistency results for kernel estimators of density fu...
This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta...
The authors give the exact asymptotic behaviour of the expected average absolute error of a beta ker...
SUMMARY. We apply the strong approximation technique to study the strong uniform consistency for ker...
Let U and V be independent random variables with continuous density function on the interval (0, 1)....
Let U and V be independent random variables with continuous density function on the interval (0, 1)....
Under mild conditions, strong consistency of the Bayes estimator of the density is proved. Moreover,...
We consider the high order moments estimator of the frontier of a random pair, introduced by [S. Gir...
DOI
Add to ORKG