Typescript (photocopy).Digitized by Kansas Correctional IndustriesDepartment: Statistics
Density estimation has a long history in statistics. There are two main approaches to density, estim...
Non parametric estimation of the gradient of the density function in the multivariate case.Winzer, N...
The objective of this paper is to estimate a bivariate density nonparametrically from a dataset from...
Typescript (photocopy).Digitized by Kansas Correctional IndustriesDepartment: Statistics
Typescript (photocopy).A technique for modeling bivariate data that is based on the theory of orthog...
We consider the problem of multivariate density estimation, using samples from the distribution of i...
This item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution...
Summary in GermanSIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbroo...
SIGLEUuStB Koeln(38)-910106777 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informa...
In this work, three extensions of univariate nonparametric probability density estimators into two d...
This thesis proposes nonparametric methods for the estimation of univariate density in a unit interv...
This thesis proposes nonparametric methods for the estimation of univariate density in a unit interv...
We propose a new nonparametric estimator for the density function of multivariate bounded data. As f...
The object of the present study is to summarize recent developments in nonparametric density estimat...
We propose a new nonparametric estimator for the density function of multivariate bounded data. As f...
Density estimation has a long history in statistics. There are two main approaches to density, estim...
Non parametric estimation of the gradient of the density function in the multivariate case.Winzer, N...
The objective of this paper is to estimate a bivariate density nonparametrically from a dataset from...
Typescript (photocopy).Digitized by Kansas Correctional IndustriesDepartment: Statistics
Typescript (photocopy).A technique for modeling bivariate data that is based on the theory of orthog...
We consider the problem of multivariate density estimation, using samples from the distribution of i...
This item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution...
Summary in GermanSIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbroo...
SIGLEUuStB Koeln(38)-910106777 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informa...
In this work, three extensions of univariate nonparametric probability density estimators into two d...
This thesis proposes nonparametric methods for the estimation of univariate density in a unit interv...
This thesis proposes nonparametric methods for the estimation of univariate density in a unit interv...
We propose a new nonparametric estimator for the density function of multivariate bounded data. As f...
The object of the present study is to summarize recent developments in nonparametric density estimat...
We propose a new nonparametric estimator for the density function of multivariate bounded data. As f...
Density estimation has a long history in statistics. There are two main approaches to density, estim...
Non parametric estimation of the gradient of the density function in the multivariate case.Winzer, N...
The objective of this paper is to estimate a bivariate density nonparametrically from a dataset from...