Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics
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Published By Springer New York

9780387978734, 9781461229520

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Residuals and Influential Points in Mean Structures Estimated with Pseudo Maximum Likelihood Methods

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_4 ◽

1992 ◽

pp. 20-26 ◽

Cited By ~ 1

Author(s):

Gerhard Arminger

Keyword(s):

Maximum Likelihood ◽

Likelihood Methods ◽

Influential Points ◽

Maximum Likelihood Methods ◽

Mean Structures ◽

Pseudo Maximum Likelihood

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Marginal modelling of Correlated Ordinal Data using an n-way Plackett Distribution

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_22 ◽

1992 ◽

pp. 139-144 ◽

Cited By ~ 1

Author(s):

Geert Molenberghs ◽

Emmanuel Lesaffre

Keyword(s):

Ordinal Data

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Ordinal Time Series Models with Application to Forest Damage Data

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_18 ◽

1992 ◽

pp. 113-118 ◽

Cited By ~ 2

Author(s):

A. Göttlein ◽

H. Pruscha

Keyword(s):

Time Series ◽

Forest Damage ◽

Time Series Models ◽

Damage Data ◽

Ordinal Time Series

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Bias reduction, the Jeffreys prior and GLIM

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_15 ◽

1992 ◽

pp. 91-100 ◽

Cited By ~ 14

Author(s):

David Firth

Keyword(s):

Bias Reduction ◽

Jeffreys Prior

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Nonparametric Approaches to Generalized Linear Models

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_33 ◽

1992 ◽

pp. 213-225 ◽

Cited By ~ 3

Author(s):

Wolfgang K. Härdle ◽

Berwin A. Turlach

Keyword(s):

Generalized Linear Models ◽

Linear Models

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Parametric and Seminonparametric Analysis of Nonlinear Time Series

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_32 ◽

1992 ◽

pp. 207-212

Author(s):

Stefan Mittnik ◽

Bruce Mizrach

Keyword(s):

Time Series ◽

Nonlinear Time Series

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Choosing Between Non-nested Models: a Simulation Approach

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_19 ◽

1992 ◽

pp. 119-124 ◽

Cited By ~ 5

Author(s):

John Hinde

Keyword(s):

Simulation Approach ◽

Nested Models

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Modelling Excess Mortality of Diabetics: Generalised Linear Models and Dynamic Estimation

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_13 ◽

1992 ◽

pp. 78-84

Author(s):

P. D. England ◽

R. J. Verrall

Keyword(s):

Excess Mortality ◽

Linear Models ◽

Generalised Linear Models ◽

Dynamic Estimation

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Estimation of Heterogeneity — A GLM-Approach

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_11 ◽

1992 ◽

pp. 66-71 ◽

Cited By ~ 8

Author(s):

Ekkehart Dietz

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On Link Selection in Generalized Linear Models

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2952-0_10 ◽

1992 ◽

pp. 60-65 ◽

Cited By ~ 12

Author(s):

Claudia Czado

Keyword(s):

Generalized Linear Models ◽

Linear Models

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Advances in GLIM and Statistical Modelling - Lecture Notes in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Residuals and Influential Points in Mean Structures Estimated with Pseudo Maximum Likelihood Methods

Marginal modelling of Correlated Ordinal Data using an n-way Plackett Distribution

Ordinal Time Series Models with Application to Forest Damage Data

Bias reduction, the Jeffreys prior and GLIM

Nonparametric Approaches to Generalized Linear Models

Parametric and Seminonparametric Analysis of Nonlinear Time Series

Choosing Between Non-nested Models: a Simulation Approach

Modelling Excess Mortality of Diabetics: Generalised Linear Models and Dynamic Estimation

Estimation of Heterogeneity — A GLM-Approach

On Link Selection in Generalized Linear Models

Advances in GLIM and Statistical Modelling - Lecture Notes in Statistics
Latest Publications