Practical aspects of kernel smoothing for binary regression and density estimation

Statistical smoothing methods Some practical aspects; second periodic report

Silverman, B.
Bath Univ. (United Kingdom). School of Mathematical Sciences

January 1987

SIGLEAvailable from British Library Document Supply Centre- DSC:0678.231F(AD-A--193-724)(microfiche)...

Univariate Kernel Density Estimation

Zhi Ouyang

January 2015

• What are the statistical properties of kernel functions on estimators? • What influence does the s...

Nonparametric kernel smoothing methods: the sm library in Xlisp-Stat

Luca Scrucca

January 2001

In this paper we describe the Xlisp-Stat version of the sm library, a software for applying nonpara-...

Kernel Smoothing

Wand, M. P
Jones, M. C.

December 1994

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. ...

Kernel smoothing methodology for application in environmental epidemiology

Kelsall, J.E

January 1995

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN005160 / BLDSC - British Library D...

Statistical smoothing methods Some practical aspects

Silverman, B.W.
Jennison, C
Bath Univ. (United Kingdom). School of Mathematical Sciences

January 1988

SIGLEAvailable from British Library Document Supply Centre- DSC:0678.231F(AD-A--195671)(microfiche) ...

Kernel density estimation and its application

Węglarczyk Stanisław

January 2018

Kernel density estimation is a technique for estimation of probability density function that is a mu...

Kernel density estimation and its application

Stanisław Węglarczyk

November 2018

Kernel density estimation is a technique for estimation of probability density function that is a mu...

Kernel density estimation and its application

Stanisław Węglarczyk

November 2018

Kernel density estimation is a technique for estimation of probability density function that is a mu...

Kernel estimation: the equivalent spline smoothing method

Haerdle, Wolfgang K.
Nussbaum, Michael

January 1989

SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...

More efficient kernel estimation in nonparametric regression with autocorrelated errors

Carroll, R.J.
Linton, O.B.
Mammen, E. (and others)
London School of Economics and Political Science (United Kingdom). Suntory-Toyota International Centres for Economics and Related Disciplines

January 2002

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.442(02/435) / BLDSC - British Li...

Kernel density estimation

Révészová, Libuša

January 2013

There are various methods for estimating a density. A group of methods which estimate the density as...

Nonparametric Kernel Smoothing Methods. The sm library in Xlisp-Stat

Luca Scrucca

June 2001

In this paper we describe the Xlisp-Stat version of the sm library, a software for applying nonparam...

NP-REG An interactive package for kernel density estimation and non-parametric regression

Duncan, A.
Jones, A
Institute for Fiscal Studies, London (United Kingdom)

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:4363.3435(IFS-WP-W--92/7) / BLDSC - ...

Practical Aspects Of Kernel Smoothing For Binary Regression And Density Estimation

Signorini, David F.

September 1998

This thesis explores the practical use of kernel smoothing in three areas: binary regression, densit...

Statistical smoothing methods Some practical aspects; second periodic report

Silverman, B.
Bath Univ. (United Kingdom). School of Mathematical Sciences

January 1987

SIGLEAvailable from British Library Document Supply Centre- DSC:0678.231F(AD-A--193-724)(microfiche)...

Univariate Kernel Density Estimation

Zhi Ouyang

January 2015

• What are the statistical properties of kernel functions on estimators? • What influence does the s...

Nonparametric kernel smoothing methods: the sm library in Xlisp-Stat

Luca Scrucca

January 2001

In this paper we describe the Xlisp-Stat version of the sm library, a software for applying nonpara-...

Kernel Smoothing

Wand, M. P
Jones, M. C.

December 1994

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. ...

Kernel smoothing methodology for application in environmental epidemiology

Kelsall, J.E

January 1995

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN005160 / BLDSC - British Library D...

Statistical smoothing methods Some practical aspects

Silverman, B.W.
Jennison, C
Bath Univ. (United Kingdom). School of Mathematical Sciences

January 1988

SIGLEAvailable from British Library Document Supply Centre- DSC:0678.231F(AD-A--195671)(microfiche) ...

Kernel density estimation and its application

Węglarczyk Stanisław

January 2018

Kernel density estimation is a technique for estimation of probability density function that is a mu...

Kernel density estimation and its application

Stanisław Węglarczyk

November 2018

Kernel density estimation is a technique for estimation of probability density function that is a mu...

Kernel density estimation and its application

Stanisław Węglarczyk

November 2018

Kernel density estimation is a technique for estimation of probability density function that is a mu...

Kernel estimation: the equivalent spline smoothing method

Haerdle, Wolfgang K.
Nussbaum, Michael

January 1989

SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...

More efficient kernel estimation in nonparametric regression with autocorrelated errors

Carroll, R.J.
Linton, O.B.
Mammen, E. (and others)
London School of Economics and Political Science (United Kingdom). Suntory-Toyota International Centres for Economics and Related Disciplines

January 2002

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.442(02/435) / BLDSC - British Li...

Kernel density estimation

Révészová, Libuša

January 2013

There are various methods for estimating a density. A group of methods which estimate the density as...

Nonparametric Kernel Smoothing Methods. The sm library in Xlisp-Stat

Luca Scrucca

June 2001

In this paper we describe the Xlisp-Stat version of the sm library, a software for applying nonparam...

NP-REG An interactive package for kernel density estimation and non-parametric regression

Duncan, A.
Jones, A
Institute for Fiscal Studies, London (United Kingdom)

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:4363.3435(IFS-WP-W--92/7) / BLDSC - ...

Practical Aspects Of Kernel Smoothing For Binary Regression And Density Estimation

Signorini, David F.

September 1998

This thesis explores the practical use of kernel smoothing in three areas: binary regression, densit...

Statistical smoothing methods Some practical aspects; second periodic report

Silverman, B.
Bath Univ. (United Kingdom). School of Mathematical Sciences

January 1987

SIGLEAvailable from British Library Document Supply Centre- DSC:0678.231F(AD-A--193-724)(microfiche)...

Univariate Kernel Density Estimation

Zhi Ouyang

January 2015

• What are the statistical properties of kernel functions on estimators? • What influence does the s...

Nonparametric kernel smoothing methods: the sm library in Xlisp-Stat

Luca Scrucca

January 2001

In this paper we describe the Xlisp-Stat version of the sm library, a software for applying nonpara-...

Practical aspects of kernel smoothing for binary regression and density estimation

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Practical aspects of kernel smoothing for binary regression and density estimation

Abstract

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