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Sales segmentation for a mobile phone service throug logistic regression algorithm
(Universidad de la Costa, 2020)
Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
(Elsevier Science, 2010-01)
This study employs statistical modeling techniques and geomorphological mapping to analyze the distribution of active rock glaciers in relation to altitude, aspect, slope, lithology and solar radiation using optical remote ...
Logistic regression and neural network classification of seismic records
(Elsevier, 2013)
The identification of seismic records in seismically active mines is examined by considering logistic regression and neural network classification techniques. An efficient methodology is presented for applying these ...
Inflection and stability points of diphasic logistic analysis of growth
(Univ Sao Paolo, 2015)
Inflection and stability points of diphasic logistic analysis of growth
(Univ Sao Paolo, 2015)
Nonparametric Bayesian assessment of the order of dependence for binary sequences
(AMER STATISTICAL ASSOC, 2004)
This article discusses inference on the order of dependence in binary sequences. The proposed approach is based on the notion of partial exchangeability of order k. A partially exchangeable binary sequence of order k can ...
Modelling non-proportional hazard for survival data with different systematic components
(Springer, 2020-06-30)
We propose a new extended regression model based on the logarithm of the generalized odd log-logistic Weibull distribution with four systematic components for the analysis of survival data. This regression model can be ...
A study on the effects of unbalanced data when fitting logistic regression models in ecology
(2018)
Binary variables have two possible outcomes: occurrence or non-occurrence of an event (usually with 1 and 0 values, respectively). Binary data are common in ecology, including studies of presence/absence, alive/dead, and ...
Ponderação de modelos com aplicação em regressão logística binária
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2006-04-18)
This work consider the problem of how to incorporate model selection uncertainty
into statistical inference, through model averaging, applied to logistic regression. It will
be used the approach of Buckland et. al. (1997), ...