Results 21 to 30 of about 1,299,612 (309)
Robustness Property of Robust-BD Wald-Type Test for Varying-Dimensional General Linear Models
Entropy, 2018 An important issue for robust inference is to examine the stability of the asymptotic level and power of the test statistic in the presence of contaminated data.
Xiao Guo, Chunming Zhang
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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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The Impact of Covariates in Voxel-Wise Lesion-Symptom Mapping
Frontiers in Neurology, 2020 Background: Voxel-wise lesion-symptom mapping (VLSM) is a statistical technique to infer the structure-function relationship in patients with cerebral strokes. Previous VLSM research suggests that it is important to adjust for various confounders such as
Deepthi Rajashekar +11 more
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Toxics, 2022 Due to non-linear interactions, the effects of contaminant mixtures on aquatic ecosystems are difficult to assess, especially under temperature rise that will likely exacerbate the complexity of the responses.
Irene Martins +6 more
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A Study on Consumers’ Visual Image Evaluation of Wrist Wearables
Entropy, 2021 This study aimed to investigate consumers’ visual image evaluation of wrist wearables based on Kansei engineering. A total of 8 representative samples were screened from 99 samples using the multidimensional scaling (MDS) method.
Liang-Ming Jia, Fang-Wu Tung
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Introduction to general and generalized linear models [PDF]
Journal of Applied Statistics, 2012 Introduction to general and generalized linear models, by Henrik Madsen and Poul Thyregod, Boca Raton, Chapman & Hall/CRC Press, 2011, xii+302 pp., £ 39.99 or US$83.95 (hardback), ISBN 978-1-420-09...
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Validating linear restrictions in linear regression models with general error structure [PDF]
, 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
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Model Selection in Generalized Linear Models
Symmetry, 2023 The problem of model selection in regression analysis through the use of forward selection, backward elimination, and stepwise selection has been well explored in the literature. The main assumption in this, of course, is that the data are normally distributed and the main tool used here is either a t test or an F test. However, the properties of these
Abdulla Mamun, Sudhir Paul
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Bayesian Linear Regression [PDF]
, 2009 The paper is concerned with Bayesian analysis under prior-data conflict, i.e. the situation when observed data are rather unexpected under the prior (and the sample size is not large enough to eliminate the influence of the prior).
Walter, Gero, Augustin, Thomas
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Remote Sensing, 2020 Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development.
Alireza Arabameri +6 more
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