Results 11 to 20 of about 590,268 (302)

Exact Hypothesis Tests for Log-linear Models with exactLoglinTest [PDF]

open access: yesJournal of Statistical Software, 2006
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]

open access: yes, 1972
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.
core   +1 more source

Finite Mixtures of Generalized Linear Regression Models [PDF]

open access: yes, 2007
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]

open access: yes, 2011
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

Developing a framework for an early warning system of seasonal temperature and rainfall tailored to aquaculture in Bangladesh

open access: yesClimate Services, 2022
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]

open access: yesPLoS Computational Biology, 2013
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]

open access: yesObject recognition supported by user interaction for service robots, 2003
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]

open access: yesTutorials in Quantitative Methods for Psychology, 2008
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]

open access: yes, 2009
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.
core   +1 more source

Validating linear restrictions in linear regression models with general error structure [PDF]

open access: yes, 2006
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

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