Sovereign Credit Ratings Analysis Using the Logistic Regression Model
Risks, 2022 This study is an empirical analysis of sovereign credit ratings (SCR) in South Africa (SA) using Logistic Regression (LR) to identify their determinants and forecast SCRs.
Oliver Takawira, John W. Muteba Mwamba
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Logistic Regression Analysis for Spatial Patterns of Drought Persistence
Complexity, 2021 Drought is one of the natural hazards with potentially significant impacts on society, economy, and other natural resources over the globe. However, the understanding of drought characteristics and its persistence can significantly help to reduce the ...
Rizwan Niaz +5 more
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Understanding logistic regression analysis [PDF]
Biochemia Medica, 2014 La régression logistique est utilisée pour obtenir le rapport de cotes en présence de plus d'une variable explicative. La procédure est assez similaire à la régression linéaire multiple, à l'exception que la variable de réponse est binomiale. Le résultat est l'impact de chaque variable sur le rapport de cotes de l'événement d'intérêt observé.
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Logistic regression analysis of populations of electrophysiological models to assess proarrythmic risk. [PDF]
, 2016 Population-based computational approaches have been developed in recent years and helped to gain insight into arrhythmia mechanisms, and intra- and inter-patient variability (e.g., in drug responses). Here, we illustrate the use of multivariable logistic
Grandi, Eleonora, Morotti, Stefano
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Pavement Distress Initiation Prediction by Time-Lag Analysis and Logistic Regression
Applied Sciences, 2022 Pavement condition prediction plays a vital role in pavement maintenance. Many prediction models and analyses have been conducted based on long-term pavement condition data.
Hao Liu +4 more
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Multiple Logistic Regression Analysis of Smartphone Use in University Students
Frontiers in Psychology, 2022 Problematic smartphone use (PSU) is an expanded public health heed that requires more study to clarify the influence elements of different populations.
Chen-Shen Chao +3 more
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Categorical Data Analysis Using Logistic Regression [PDF]
SSRN Electronic Journal, 2021 The categorized data that will be analyzed in this paper will be of the type that will use the logistic regression method. The rest of the paper will focus on logistic regression and then the combination of these in the title of the topic mentioned above.
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Probabilistic classification of acute myocardial infarction from multiple cardiac markers [PDF]
, 2008 Logistic regression and Gaussian mixture model (GMM) classifiers have been trained to estimate the probability of acute myocardial infarction (AMI) in patients based upon the concentrations of a panel of cardiac markers.
C Bishop +20 more
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Analysis of student achievements using ordered logistic regression
Lietuvos Matematikos Rinkinys, 2010 In the paper the problem of assessment of mathematical abilities is addressed. It is assumed that student’s grade in the mathematical analysis is one of the main indices of mathematical abilities which gives rather reliable guess of his further academic ...
Gediminas Murauskas +1 more
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Ordinal Regression Analysis: Using Generalized Ordinal Logistic Regression Models to Estimate Educational Data [PDF]
, 2012 The proportional odds (PO) assumption for ordinal regression analysis is often violated because it is strongly affected by sample size and the number of covariate patterns.
Koirala, Hari, Liu, Xing
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