Results 11 to 20 of about 590,268 (302)
Exact Hypothesis Tests for Log-linear Models with exactLoglinTest [PDF]
This manuscript overviews exact testing of goodness of fit for log-linear models using the R package exactLoglinTest. This package evaluates model fit for Poisson log-linear models by conditioning on minimal sufficient statistics to remove nuisance ...
Brian Caffo
doaj +4 more sources
Generalized linear models [PDF]
The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family and systematic effects that can be made linear by a suitable ...
Nelder, J. A., Wedderburn, R. W. M.
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Finite Mixtures of Generalized Linear Regression Models [PDF]
Generalized linear models have become a standard technique in the statistical modelling toolbox for investigating relationships between variables.
Bettina Grün +3 more
core +1 more source
Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure [PDF]
We consider the problem of testing for zero variance components in linear mixed models with correlated or heteroscedastic errors. In the case of independent and identically distributed errors, a valid test exists, which is based on the exact finite ...
Sonja Greven +5 more
core +1 more source
The occurrence of high temperature and heavy rain events during the monsoon season are a major climate risk affecting aquaculture production in Bangladesh.
Carlo Montes +5 more
doaj +1 more source
Are v1 simple cells optimized for visual occlusions? A comparative study. [PDF]
Simple cells in primary visual cortex were famously found to respond to low-level image components such as edges. Sparse coding and independent component analysis (ICA) emerged as the standard computational models for simple cell coding because they ...
Jörg Bornschein +2 more
doaj +1 more source
Linear and non-linear model for statistical localization of landmarks [PDF]
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks. In many real applications, some information is visible in images and some parts are missing or occulted. These parts are estimated by 3 statistical approaches: a rigid registration, a linear method derived from PCA, which represents spatial ...
Barbara Romaniuk +3 more
openaire +1 more source
General Linear Models: An Integrated Approach to Statistics [PDF]
Generally, in psychology, the various statistical analyses are taught independently from each other. As a consequence, students struggle to learn new statistical analyses, in contexts that differ from their textbooks.
Andrew Faulkner, Sylvain Chartier
doaj
Bayesian inference for Poisson and multinomial log-linear models [PDF]
Categorical data frequently arise in applications in the social sciences. In such applications,the class of log-linear models, based on either a Poisson or (product) multinomial response distribution, is a flexible model class for inference and ...
Forster, Jonathan J.
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Validating linear restrictions in linear regression models with general error structure [PDF]
A new method for testing linear restrictions in linear regression models is suggested. It allows to validate the linear restriction, up to a specified approximation error and with a specified error probability.
Holzmann, Hajo +2 more
core +1 more source

