Results 1 to 10 of about 619,645 (215)
Analysis of logistic growth models [PDF]
Mathematical Biosciences, 2002 A variety of growth curves have been developed to model both unpredated, intraspecific population dynamics and more general biological growth. Most predictive models are shown to be based on variations of the classical Verhulst logistic growth equation. We review and compare several such models and analyse properties of interest for these.
A Tsoularis
exaly +3 more sources
Machine Learning, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Niels Landwehr +2 more
openaire +2 more sources
On the Complexity of Logistic Regression Models [PDF]
Neural Computation, 2019 We investigate the complexity of logistic regression models, which is defined by counting the number of indistinguishable distributions that the model can represent (Balasubramanian, 1997 ). We find that the complexity of logistic models with binary inputs depends not only on the number of parameters but also on the distribution of inputs in a ...
Nicola Bulso +2 more
openaire +4 more sources
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995 SUMMARY When data composed of several categorical responses together with categorical or continuous predictors are observed, the multivariate logistic transform introduced by McCullagh and Nelder can be used to define a class of regression models that is, in many applications, particularly suitable for relating the joint distribution of ...
Glonek, G. F. V., McCullagh, P.
openaire +2 more sources
CoRR, 2018 Presented at 30Th Annual Conference Of The International Academy Of Business ...
Bob Vanderheyden, Jennifer L. Priestley
openaire +2 more sources
Allergologia et Immunopathologia, 2011 In the health sciences it is quite common to carry out studies designed to determine the influence of one or more variables upon a given response variable. When this response variable is numerical, simple or multiple regression techniques are used, depending on the case.
S, DomÃnguez-Almendros +2 more
openaire +2 more sources
Mathematical and Computer Modelling, 1988 Abstract A class of models indexed by two shape parameters is introduced, both to extend the scope of the standard logistic model to asymmetric probability curves and improve the fit in the noncentral probability regions. One-parameter subclasses can be used to examine symmetric or asymmetric deviations from the logistic model.
openaire +1 more source
On Robustness in the Logistic Regression Model
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993 SUMMARY We investigate robustness in the logistic regression model. Copas has studied two forms of robust estimator: A robust-resistant estimate of Pregibon and an estimate based on a misclassification model. He concluded that robust-resistant estimates are much more biased in small samples than the usual logistic estimate is and ...
Carroll, R. J., Pederson, Shane
openaire +2 more sources
Modelling receiver logistics behaviour
Procedia Computer Science, 2019 Abstract There is a need for collaborative urban freight planning and appropriate decision and planning support tools are lacking, resulting in inadequate understanding of how urban freight agents should collaborate and what benefits can be gained from their coalitions.
Wilna L. Bean, Johan W. Joubert
openaire +2 more sources
A logistic model for the prediction of endometriosis [PDF]
Fertility and Sterility, 2009 To develop a model using individual and lesion characteristics to help surgeons choose lesions with a high probability of containing histologically-confirmed endometriosis.
Barbara J, Stegmann +6 more
openaire +2 more sources