Results 21 to 30 of about 1,760,564 (191)
Landslide susceptibility mapping using logistic regression analysis in Latyan catchment [PDF]
Desert, 2017 Every year, hundreds of people all over the world lose their lives due to landslides. Landslide susceptibility map describes the likelihood or possibility of new landslides occurring in an area, and therefore helping to reduce future potential damages ...
A. Kouhpeima +3 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
core +2 more sources
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce how to reasonably analyze the multiple Logistic regression models in combination with the multilevel model analysis.
Hu Chunyan, Hu Liangping
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Bayesian logistic regression analysis
AIP Conference Proceedings, 2013 In this paper we present a Bayesian logistic regression analysis. It is found that if one wishes to derive the posterior distribution of the probability of some event, then, together with the traditional Bayes Theorem and the integrating out of nuissance parameters, the Jacobian transformation is an essential added ingredient.
Van Erp, H.R.N. (author) +1 more
openaire +3 more sources
The Log-gamma-logistic Regression Model: Estimation, Sensibility and Residual Analysis [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 In this paper, we formulate and develop a log-linear model using a new distribution called the log-gammalogistic. We show that the new regression model can be applied to censored data since it represents a parametric family of models that includes as sub-
Elizabeth M. Hashimoto +3 more
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Using the Logistic Regression in Analysis of Results from Statistical Observations
Статистика України, 2021 The article is focused on investigating the problems arising in the statistical analysis with use of logistic models of the ordered multiple choice, which are constructed by the results of statistical observations involving the existence of a categorical
L. A. Soshnikova
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Analysis of development of local self-government units in Vojvodina [PDF]
Ekonomika Poljoprivrede (1979), 2020 Discriminant analysis and logistic regressions were applied in this research for the purpose of analyzing the development of autonomous province (AP) Vojvodina local self-government units, which are classified as developed and underdeveloped.
Tekić Dragana +3 more
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Model performance analysis and model validation in logistic regression
Statistica, 2007 In this paper a new model validation procedure for a logistic regression model is presented. At first, we illustrate a brief review of different techniques of model validation. Next, we define a number of properties required for a model to be considered "
Rosa Arboretti Giancristofaro +1 more
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Bayesian logistic regression analysis for spatial patterns of inter-seasonal drought persistence
Geocarto International, 2023 Drought is one of the disastrous natural hazards with complex seasonal and spatial patterns. Understanding the spatial patterns of drought and predicting the likelihood of inter-seasonal drought persistence can provide substantial operational guidelines ...
Muhammad Ahmad Raza +5 more
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Reasonably conduct the multiple Logistic regression analysis combined with the ROC curve analysis
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce how to reasonably carry out the method of the multiple Logistic regression analysis by combining the ROC curve analysis. Firstly， it introduced two groups of the basic concepts related to the ROC curve analysis，
Hu Chunyan, Hu Liangping
doaj +1 more source