Logistic Models
Grid multi-category response logistic models
... multinomial logistic models in a few more ...ordinal logistic models have been ...odds logistic model to deal with multi-category prob- ...multi-category logistic regression ...
9
Modeling the distribution and incidence of bacterial wilt on tomatoesusing binary logistic models
... binary logistic models to data consisting of dummy response variable of its incidents on reported cases to the plant ...Binary logistic methods are used for fitting such models to data ...
5
Two logistic models for the prediction of hypothyroidism in pregnancy
... two Logistic models, Model I and Model 11, were derived to differentiate the hypothyroid group from their non-hypothyroid ...two logistic models were then applied in a prospective validation ...
10
A misspecification test for finite mixture logistic models for clustered binary and ordered responses
... mixed models for item responses, multilevel data, and longitudinal ...mixture models is proposed which is based on the comparison between the Marginal and the Conditional Maximum Likelihood estimates of the ...
39
Computational Algorithms for Penalized Logistic Regression with Categorical Predictors and Random Effect Logistic Models.
... In the other situation, there is no real missing data, but the original problem is difficult to solve unless some latent variables are added into the model. These problems include the generalized linear models, ...
92
Consumer choice prediction : artificial neural networks versus logistic models
... econometric models, such as discriminant analysis and logistic regression can predict consumers’ choices, but recently, there has been a growing interest in using ANN to analyze and the model consumer ...
25
Accuracy of logistic models and receiver operating characteristic curves
... We are able to use the retrospective and prospective ROC curves to show that the 'shrunk' estimates can produce predictors which have better discriminatory power than the model or data a[r] ...
192
Prospectives of monitoring biological activity in a red-legged partridge incubator with a carbon dioxide probe
... of models (Gompertz and ...the logistic model. The Gompertz and the logistic models show a degree of redundancy between parameters “b” and ...
10
Download Download PDF
... parametric models is higher, their use is of great ...Log-logistic models and generalized gamma were fitted to the data and were compared with the use of ...
11
Applicability of models based on deterministic chaos theory for forecasting of electricity sales in rural areas
... the models of the deterministic chaos origin, and, in particular, the self-similar fractal-dimen- sion based models, logistic models according to Prigogine and according to Schuster, and ...
5
Maternal Characteristics and Perception of Temperament Associated With Infant TV Exposure
... Longitudinal logistic models and ordered regression models with clustering for repeated measures across subjects adjusted for infant gender and visit were used to assess maternal and infant ...
10
A comparison of Gompertz and logistic growth models using post-natal
... Table 3 gives the model selection criteria of Gompertz and logistic models. The Gompertz model had lower root mean square error of 1.135, residual deviance of 9442.063 and equal higher values of R-squared ...
12
Logistic and SVM Credit Score Models Based on Lasso Variable Selection
... Through the K-fold cross-validation, the Lasso-logistic, Lasso-SVM, and Group lasso-logistic models are changed with the value of lambda, and the model error is changed. At the top of Figure 2, the ...
18
A Logistic Regression Mixture Model for Interval Mapping of Genetic Trait Loci Affecting Binary Phenotypes
... the logistic regression mixture model in the parameters of interest can also be augmented via the covariates (F ollmann and L ambert ...mixture models (see, ...
10
A Predictive Model for Graduate Application to Enrollment
... Another study [9] presented a predictive model for determining enrollment at a small, private liberal arts college in Wisconsin. A limited small number of bio- demographic, athletic, contact, and “choice” variable were ...
18
An investigation into statistical methods for analysing ordered categorical data
... odds models, to data obtained from a survey o f the opinions o f South Yorkshire Police staff (SSRC ...odds models are discussed ...ordinal models are discussed, and a modification to the guidelines ...
274
Functional Data Analysis Applied to Modeling of Severe Acute Mucositis and Dysphagia Resulting From Head and Neck Radiation Therapy.
... unsupervised, had similar shapes to the first FPLS components, which are supervised, suggesting that, for this dataset, the variation in severity of toxicities is related to the variations in the DVHs. This suggestion is ...
92
Curve Estimation Models for Estimation and Prediction of Impact Factor and CiteScore Using the Journal Percentiles: A Case Study of Telecommunication Journals
... predictive models for predicting impact factor and CiteScore using journal percentiles extending the observed correlation between the metrics to predictive ...various models is significant and the best ...
11
Mathematical Modelling of Population Growth: The Case of Logistic and Von Bertalanffy Models
... growth models viz., Logistic and Von ...growth models look to be new functions. For either models, the predator population size either converges to a finite positive limit or to 0 or diverges ...
15
The Relevance of International Spillovers and Asymmetric Effects in the Taylor Rule. CEPS Working Document No. 403, February 2015
... A further transmission channel for international spillovers stems from the fact that central banks no longer decide on policy rates in an independent way (Taylor, 2013). While interest rates have been set according to ...
19