This paper describes a software tool for marginal regression methods. MAREG currently handles binary, categorical and continious data with several link functions. Although intended for the analysis of correlated data, uncorrelated data can be analysed. We supplies two different approaches for these problems-Maximum Likelihood and GEE methods. Handling of missing data is also provided. [ Published in: Computational Statistics and Data Analysis, 24, 235-241
AbstractThis document is a bibliography on realizability and related matters. It has been collected ...
We study marked point processes (MPP's) with an arbitrary mark space. First we develop some statisti...
This article discusses some properties of the first order regression method for imputation of missin...
This paper describes a software tool for marginal regression methods. MAREG currently handles binary...
This paper describes changes in the software tool MAREG from version 0.0.7 (July 1997) to version 0....
We consider asymptotic theory for the maximum likelihood estimator in the generalized linear model w...
Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...
Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...
The paper generalizes results of [B] by formulating their background in categories with a sufficient...
AbstractIn this survey paper we start with a discussion how functionals of finite type can be used f...
We consider two tests for testing the hypothesis that a density lies in a parametric class of densit...
Reliability measures in linear models are used in geodetic science and elsewhere to quantify the pot...
The question of recovering a multiband signal from noisy observationsmotivates a model in which the ...
AbstractThis document is a bibliography on realizability and related matters. It has been collected ...
We study marked point processes (MPP's) with an arbitrary mark space. First we develop some statisti...
This article discusses some properties of the first order regression method for imputation of missin...
This paper describes a software tool for marginal regression methods. MAREG currently handles binary...
This paper describes changes in the software tool MAREG from version 0.0.7 (July 1997) to version 0....
We consider asymptotic theory for the maximum likelihood estimator in the generalized linear model w...
Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...
Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...
The paper generalizes results of [B] by formulating their background in categories with a sufficient...
AbstractIn this survey paper we start with a discussion how functionals of finite type can be used f...
We consider two tests for testing the hypothesis that a density lies in a parametric class of densit...
Reliability measures in linear models are used in geodetic science and elsewhere to quantify the pot...
The question of recovering a multiband signal from noisy observationsmotivates a model in which the ...
AbstractThis document is a bibliography on realizability and related matters. It has been collected ...
We study marked point processes (MPP's) with an arbitrary mark space. First we develop some statisti...
This article discusses some properties of the first order regression method for imputation of missin...
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