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The impact of knowledge management on the quality of logistics operations in Panama
(2013-06)
This research analyzes the quality of logistics operations in terms of the impact exerted by knowledge management variables; explicitly, knowledge generation, knowledge dissemination, knowledge interpretation and knowledge ...
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 ...
Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?
Basing on existence of the mathematically sequential reduction of the three-compartmental (SusceptibleInfected-Recovered/Removed) model to the Verhulst (logistic) equation with the parameters determined
by the basic ...
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 ...
Pricing corporate bonds in Brazil: 2000 to 2004
(ELSEVIER SCIENCE INC, 2009)
This paper analyzes the factors that influence the issuing price of debentures in Brazil in the period from year 2000 to 2004, applying a factor model, in which exogenous variables explain return and price behavior. The ...
Logistic regression when covariates are random effects from a non-linear mixed model
(WILEY-BLACKWELL, 2011)
Logistic regression when covariates are random effects from a non-linear mixed model
(WILEY-BLACKWELL, 2011)
Logistic regression when covariates are random effects from a non-linear mixed model
(WILEY-BLACKWELL, 2011)