Results 11 to 20 of about 136,511 (258)
A Framework to Interpret Nonstandard Log-Linear Models
Austrian Journal of Statistics, 2016 The formulation of log-linear models within the framework of Generalized Linear Models offers new possibilities in modeling categorical data. The resulting models are not restricted to the analysis of contingency tables in terms of ordinary hierarchical ...
Patrick Mair
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Frontiers in Public Health, 2016 This paper reviews common challenges encountered in statistical analyses of epidemiological data for epidemiologists. We focus on the application of linear regression, multivariate logistic regression, and log-linear modeling to epidemiological data ...
Lihan Yan +4 more
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Inferring and Modeling Migration Flows Using Mobile Phone Network Data
IEEE Access, 2019 Estimating migration flows and forecasting future trends is important, both to understand the causes and effects of migration and to implement policies directed at supplying particular services.
Soranan Hankaew +5 more
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Crystals, 2023 In the present study, the predication of the binding affinity (log RBA) of estrogen receptor alpha with three categories of environmental endocrine disrupting chemicals (EDCs), namely, PCB, phenol, and DDT, is performed by the quantum chemical genetic ...
Shu-Chun Chi +2 more
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A Markov-Dependent stochastic approach to modeling lactation curves in dairy cows
Smart Agricultural Technology, 2023 The modeling of lactation curves is an essential aspect of formulating farm managerial practices in dairy cows. In this study, we propose and examine a Markov-Dependent stochastic approach to modeling lactation curves in dairy cows, with the aim of ...
Thi Thi Zin +3 more
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Journal of Statistical Software, 2018 This paper provides an overview of the R package gets, which contains facilities for automated general-to-specific (GETS) modeling of the mean and variance of a regression, and indicator saturation (IS) methods for the detection and modeling of outliers ...
Felix Pretis +2 more
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Satellite-Based Bathymetric Modeling Using a Wavelet Network Model
ISPRS International Journal of Geo-Information, 2019 Accurate bathymetric modeling is required for safe maritime navigation in shallow waters as well as for other marine operations. Traditionally, bathymetric modeling is commonly carried out using linear models, such as the Stumpf method.
Mohammed El-Diasty
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Question classification with log-linear models
Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006 Question classification has become a crucial step in modern question answering systems. Previous work has demonstrated the effectiveness of statistical machine learning approaches to this problem. This paper presents a new approach to building a question classifier using log-linear models.
Blunsom, P, Kocik, K, Curran, J
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Sensors, 2020 Although various linear log-distance path loss models have been developed for wireless sensor networks, advanced models are required to more accurately and flexibly represent the path loss for complex environments.
Han-Shin Jo +4 more
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Analysis of Cantilever-Beam Bending Stress Relaxation Properties of Thin Wood Composites
BioResources, 2015 An equivalent strain method was used to analyze and determine material relaxation properties for specimens from particleboard, high density fiberboard, and medium density fiberboard.
John F. Hunt, Houjiang Zhang, Yan Huang
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