Cataloged from PDF version of article.In this study bivariate kernel density estimators are considered when a component is subject to random truncation. In bivariate truncation models one observes the i.i.d. samples from the triplets (T, Y, X) only if T less than or equal to 1: In this set-up, Y is said to be left truncated by T and T is right truncated by Y. We consider the estimation of the bivariate density function of (Y, X) via nonparametric kernel methods where Y is the variable of interest and X a covariate. We establish an i.i.d, representation of the bivariate distribution function estimator and show that the remainder term achieves an improved order of O(n(-1) In n), which is desirable fur density estimation purposes. Expressions ...
Bivariate estimation with survival data has received considerable attention recently; however, most ...
This paper proposes a new estimator for bivariate distribution functions under random truncation and...
Typescript (photocopy).A technique for modeling bivariate data that is based on the theory of orthog...
AbstractIn this study bivariate kernel density estimators are considered when a component is subject...
Cataloged from PDF version of article.In random truncation models one observes the i.i.d. pairs (Ti≤...
In random truncation models one observes the i.i.d. pairs (Ti≤Yi), i=1, ..., n. If Y is the variable...
In some applications with astronomical and survival data, doubly truncated data are sometimes encoun...
AbstractIn random truncation models one observes the i.i.d. pairs (Ti⩽Yi),i=1, …, n. IfYis the varia...
This work develops an estimator for the bivariate density given a sample of data truncated to a non-...
Cataloged from PDF version of article.In this study the variance of the bivariate kernel density est...
In this work, three extensions of univariate nonparametric probability density estimators into two d...
In left truncation and right censoring models one observes i.i.d. samples from the triplet (T, Z, de...
Abstract Many statistical methods for truncated data rely on the independence assumption regarding t...
This paper proposes a class of nonparametric estimators for the bivariate survival function estimati...
In this paper we build on previous work for estimation of the bivariate distribution of time variabl...
Bivariate estimation with survival data has received considerable attention recently; however, most ...
This paper proposes a new estimator for bivariate distribution functions under random truncation and...
Typescript (photocopy).A technique for modeling bivariate data that is based on the theory of orthog...
AbstractIn this study bivariate kernel density estimators are considered when a component is subject...
Cataloged from PDF version of article.In random truncation models one observes the i.i.d. pairs (Ti≤...
In random truncation models one observes the i.i.d. pairs (Ti≤Yi), i=1, ..., n. If Y is the variable...
In some applications with astronomical and survival data, doubly truncated data are sometimes encoun...
AbstractIn random truncation models one observes the i.i.d. pairs (Ti⩽Yi),i=1, …, n. IfYis the varia...
This work develops an estimator for the bivariate density given a sample of data truncated to a non-...
Cataloged from PDF version of article.In this study the variance of the bivariate kernel density est...
In this work, three extensions of univariate nonparametric probability density estimators into two d...
In left truncation and right censoring models one observes i.i.d. samples from the triplet (T, Z, de...
Abstract Many statistical methods for truncated data rely on the independence assumption regarding t...
This paper proposes a class of nonparametric estimators for the bivariate survival function estimati...
In this paper we build on previous work for estimation of the bivariate distribution of time variabl...
Bivariate estimation with survival data has received considerable attention recently; however, most ...
This paper proposes a new estimator for bivariate distribution functions under random truncation and...
Typescript (photocopy).A technique for modeling bivariate data that is based on the theory of orthog...