Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Legal Medicine"
DOI: 10.1007/s00414-019-02148-4
Abstract: The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative probit (CPR) regression, linear (LDA) and quadratic (QDA) discriminant analysis, artificial neural networks (ANN), and naïve Bayes classification (NBC), is examined in… read more here.
Keywords: classification; probit; sex estimation; binary logistic ... See more keywords
Development of Two Empirical Correlations for Tunnel Squeezing Prediction Using Binary Logistic Regression and Linear Discriminant Analysis
Sign Up to like & getrecommendations! Published in 2018 at "Geotechnical and Geological Engineering"
DOI: 10.1007/s10706-018-00758-0
Abstract: Squeezing as a large time-dependent deformation can result in irreparable damages for tunneling projects. The accurate prediction of this phenomenon in preliminary stages of tunneling projects has a remarkable role on reducing its destructive effects.… read more here.
Keywords: logistic regression; squeezing prediction; empirical correlations; binary logistic ... See more keywords
Pain Monitoring Using Heart Rate Variability and Photoplethysmograph-Derived Parameters by Binary Logistic Regression
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Medical and Biological Engineering"
DOI: 10.1007/s40846-021-00651-x
Abstract: To construct a pain classification model using binary logistic regression to calculate pain probability and monitor pain based on heart rate variability (HRV) and photoplethysmography (PPG) parameters. Heat stimulation was used to simulate pain for… read more here.
Keywords: logistic regression; classification model; binary logistic; model ... See more keywords
A methodological comparison of head-cut based gully erosion susceptibility models: Combined use of statistical and artificial intelligence
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DOI: 10.1016/j.geomorph.2020.107136
Abstract: Abstract A GIS-based hybrid approach for gully erosion susceptibility mapping (GESM) in the Biarjamand watershed in Iran is presented. A database comprised of 15 geo-environmental factors (GEFs) was compiled and used to predict the spatial… read more here.
Keywords: susceptibility; binary logistic; methodological comparison; erosion susceptibility ... See more keywords
D-optimal designs for the two-variable binary logistic regression model with interaction
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2017.08.007
Abstract: Abstract The analytical construction of optimal designs for generalized linear models with interaction between the explanatory variables is challenging and the optimal designs reported in the statistical literature for such models are invariably constructed numerically.… read more here.
Keywords: two variable; variable binary; binary logistic; model ... See more keywords
Evaluation of debris flow susceptibility in El Salvador (CA): a comparison between Multivariate Adaptive Regression Splines (MARS) and Binary Logistic Regression (BLR)
Sign Up to like & getrecommendations! Published in 2018 at "Hungarian Geographical Bulletin"
DOI: 10.15201/hungeobull.67.4.5
Abstract: In the studies of landslide susceptibility assessment, which have been developed in recent years, statistical methods have increasingly been applied. Among all, the BLR (Binary Logistic Regression) certainly finds a more extensive application while MARS… read more here.
Keywords: logistic regression; regression; adaptive regression; binary logistic ... See more keywords