Results 11 to 20 of about 11,029,261 (299)
Generalized linear models [PDF]
, 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.
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Finite Mixtures of Generalized Linear Regression Models [PDF]
, 2007 Generalized linear models have become a standard technique in the statistical modelling toolbox for investigating relationships between variables.
Bettina Grün +3 more
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Bayesian inference for Poisson and multinomial log-linear models [PDF]
, 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.
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Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure [PDF]
, 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
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Climate 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
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Are v1 simple cells optimized for visual occlusions? A comparative study. [PDF]
PLoS 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
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Linear and non-linear model for statistical localization of landmarks [PDF]
Object 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 +2 more sources
General Linear Models: An Integrated Approach to Statistics [PDF]
Tutorials 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
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Measurement as a geometry of chance and experience
Measurement: Sensors, 2021 Contrary to widespread assumptions, probabilistic models in psychology and the social sciences are not incompatible with the linear geometry of interval measurement.
William P. Fisher, Jr.
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Visualising statistical models using dynamic nomograms.
PLoS ONE, 2019 Translational Statistics proposes to promote the use of Statistics within research and improve the communication of statistical findings in an accurate and accessible manner to diverse audiences.
Amirhossein Jalali +3 more
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