Properties of log linear and covariance selection models

Log-mean linear models for binary data

ROVERATO, ALBERTO
LUPPARELLI, MONIA
La Rocca L.

January 2013

This paper introduces a novel class of models for binary data, which we call log-mean linear models...

Log-mean linear models for binary data Alberto

Luca La Rocca

January 2012

This paper introduces a novel class of models for binary data, which we call log-mean linear models....

On model selection in data envelopment analysis A multivariate statistical approach

Serrano Cinca, C.
Mar Molinero, C.
Chaparro Garcia, F.
Southampton Univ. (United Kingdom). School of Management

January 2002

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.94814(no 02-7) / BLDSC - British...

Loglinear models Theory and application

Fingleton, B
Cambridge Univ. (United Kingdom). Dept. of Land Economy

January 1995

SIGLEAvailable from British Library Document Supply Centre- DSC:3597.77152(CU-DLE-DP--61) / BLDSC - ...

Linear structural models in statistics and their applications

Bogle, S.M
Leeds Univ. (United Kingdom)

January 1985

SIGLEAvailable from British Library Lending Division - LD:D57190/85 / BLDSC - British Library Docume...

Some applications of generalised linear models

Scallan, A
Polytechnic of North London (United Kingdom)
Council for National Academic Awards, London (United Kingdom)

January 1990

SIGLEAvailable from British Library Document Supply Centre- DSC:DX97502 / BLDSC - British Library Do...

Exemplifying longitudinal log-linear analysis with latent variables

Hagenaars, J.A
European Science Foundation, Colchester (United Kingdom). European Scientific Network on Household Panel Studies

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:9349.2264(ESF-ESNHPS-WP--58) / BLDSC...

Bayesian inference for log-linear models

Grigsby, M.E.

January 2001

Available from British Library Document Supply Centre-DSC:DXN051465 / BLDSC - British Library Docume...

Optimal prediction in loglinear models

Garderen, K.J. van
Bristol Univ. (United Kingdom). Dept. of Economics

January 2001

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.760(no 01/512) / BLDSC - British...

Latent variable generalized linear models

Creagh-Osborne, J.

January 1998

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN020079 / BLDSC - British Library D...

A case study of the application of log-linear and logic models in industrial geography

Alderman, N

January 1986

SIGLEAvailable from British Library Document Supply Centre- DSC:D74455/87 / BLDSC - British Library ...

Discriminating between the linear and log-linear forms of regression model Optimal instrumentatal variables test

Santos-Silva, J
Bristol Univ. (United Kingdom). Dept. of Economics

January 1991

SIGLEAvailable from British Library Document Supply Centre- DSC:3597.76(BU-DE-DP--91/301) / BLDSC - ...

Stochastic search variable selection for log-linear models

Ntzoufras, Ioannis
Forster, Jonathan J.
Dellaportas, Petros

January 2000

We develop a Markov chain Monte Carlo algorithm, based on 'stochastic search variable selection' (Ge...

Covariate models for size distributions

Lynch, Andrew Graeme

January 2001

SIGLEAvailable from British Library Document Supply Centre- DSC:DXN058789 / BLDSC - British Library ...

A C(,P) Method to Select a Log Linear Model.

Jolayemi, Emmanuel Tejumola

January 1982

Categorical data in contingency tables are collected in many investigations. In order to underst and...

Log-mean linear models for binary data

ROVERATO, ALBERTO
LUPPARELLI, MONIA
La Rocca L.

January 2013

This paper introduces a novel class of models for binary data, which we call log-mean linear models...

Log-mean linear models for binary data Alberto

Luca La Rocca

January 2012

This paper introduces a novel class of models for binary data, which we call log-mean linear models....

On model selection in data envelopment analysis A multivariate statistical approach

Serrano Cinca, C.
Mar Molinero, C.
Chaparro Garcia, F.
Southampton Univ. (United Kingdom). School of Management

January 2002

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.94814(no 02-7) / BLDSC - British...

Loglinear models Theory and application

Fingleton, B
Cambridge Univ. (United Kingdom). Dept. of Land Economy

January 1995

SIGLEAvailable from British Library Document Supply Centre- DSC:3597.77152(CU-DLE-DP--61) / BLDSC - ...

Linear structural models in statistics and their applications

Bogle, S.M
Leeds Univ. (United Kingdom)

January 1985

SIGLEAvailable from British Library Lending Division - LD:D57190/85 / BLDSC - British Library Docume...

Some applications of generalised linear models

Scallan, A
Polytechnic of North London (United Kingdom)
Council for National Academic Awards, London (United Kingdom)

January 1990

SIGLEAvailable from British Library Document Supply Centre- DSC:DX97502 / BLDSC - British Library Do...

Exemplifying longitudinal log-linear analysis with latent variables

Hagenaars, J.A
European Science Foundation, Colchester (United Kingdom). European Scientific Network on Household Panel Studies

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:9349.2264(ESF-ESNHPS-WP--58) / BLDSC...

Bayesian inference for log-linear models

Grigsby, M.E.

January 2001

Available from British Library Document Supply Centre-DSC:DXN051465 / BLDSC - British Library Docume...

Optimal prediction in loglinear models

Garderen, K.J. van
Bristol Univ. (United Kingdom). Dept. of Economics

January 2001

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.760(no 01/512) / BLDSC - British...

Latent variable generalized linear models

Creagh-Osborne, J.

January 1998

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN020079 / BLDSC - British Library D...

A case study of the application of log-linear and logic models in industrial geography

Alderman, N

January 1986

SIGLEAvailable from British Library Document Supply Centre- DSC:D74455/87 / BLDSC - British Library ...

Discriminating between the linear and log-linear forms of regression model Optimal instrumentatal variables test

Santos-Silva, J
Bristol Univ. (United Kingdom). Dept. of Economics

January 1991

SIGLEAvailable from British Library Document Supply Centre- DSC:3597.76(BU-DE-DP--91/301) / BLDSC - ...

Stochastic search variable selection for log-linear models

Ntzoufras, Ioannis
Forster, Jonathan J.
Dellaportas, Petros

January 2000

We develop a Markov chain Monte Carlo algorithm, based on 'stochastic search variable selection' (Ge...

Covariate models for size distributions

Lynch, Andrew Graeme

January 2001

SIGLEAvailable from British Library Document Supply Centre- DSC:DXN058789 / BLDSC - British Library ...

A C(,P) Method to Select a Log Linear Model.

Jolayemi, Emmanuel Tejumola

January 1982

Categorical data in contingency tables are collected in many investigations. In order to underst and...

Log-mean linear models for binary data

ROVERATO, ALBERTO
LUPPARELLI, MONIA
La Rocca L.

January 2013

This paper introduces a novel class of models for binary data, which we call log-mean linear models...

Log-mean linear models for binary data Alberto

Luca La Rocca

January 2012

This paper introduces a novel class of models for binary data, which we call log-mean linear models....

On model selection in data envelopment analysis A multivariate statistical approach

Serrano Cinca, C.
Mar Molinero, C.
Chaparro Garcia, F.
Southampton Univ. (United Kingdom). School of Management

January 2002

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.94814(no 02-7) / BLDSC - British...

Properties of log linear and covariance selection models

Abstract

Extracted data

Properties of log linear and covariance selection models

Abstract

Extracted data

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