Regression model
MULTIPLE LOGISTIC REGRESSION MODEL TO PREDICT RISK FACTORS OF ORAL HEALTH DISEASES
... i.e. regression analysis, multilevel modelling, logistic regression and ordinal regression techniques employed to analyze the dental caries data (DMFT Index) and periodontal disease (CPITN Index) ...
14
Genotypic parameters for egg production in pure breed hens by using random regression model
... random regression models to model the egg production of Barred Plymouth Rock and White Plymouth Rock hens aged between 5 and 12 ...random regression models were evaluated, and for each model, ...
7
A logistic regression model for predicting the occurrence of intense geomagnetic storms
... logistic regression model was implemented for pre- dicting the occurrence of intense/super-intense geomagnetic storms based on a number of solar and interplanetary vari- ...the model can be used for ...
6
Characterization and Validation of Requirements Management Measures Using Correlation and Regression Model
... 231 Our observation is that the majority of existing measures are neither theoretically nor empirically validated for different academic case studies and industry case studies. Table 3 provides the data were collected ...
11
USE OF THE SIMPLE LINEAR REGRESSION MODEL IN MACRO-ECONOMICAL ANALYSES
... linear regression model: in the analysis of dependency between variables, if the data series are recorded at the levels of population statistical units for an interval or moment, by using the ...
13
Bayesian binary regression model: an application to in-hospital death after AMI prediction
... binary regression model is developed to predict death of patients after acute myocardial infarction ...binary regression models. A model building strategy based on Bayes factor is proposed and ...
15
Statistical approach for selection of regression model during validation of bioanalytical method
... adequate regression model is the basis for obtaining accurate and reproducible results during the bionalytical method ...quadratic regression models were evaluated during the selection of the ...
7
Measuring performance in the Portuguese banking industry with a Fourier regression model
... frontier model, but rather adopting a Fourier panel data regression without decomposition of the errors terms, alongside the approach chosen by Enders and Sandler ...
8
Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
... random regression test day ...day model not only improves the accuracy of genetic evaluations but can also evaluate persistency be- cause the estimated breeding value (EBV) for various parts of the ...
7
Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... the multiple regression coefficients, to be estimated by the least-squares method (Wilks, 1995); and C is the error term. In spite of their obvious success in many applications, MLRs present multicollinearity when ...
8
Multiscale regression model to infer historical temperatures in a central Mediterranean sub-regional area
... in model sophistication may not be as profitable as the ability to reconstruct confidently the overall picture of temperature-related events (and therefore temperature data) over historical times and in different ...
25
Estimation of the Credibility in the Original Bühlmann Model Illustrated by Introducing a Regression Technique
... credibility model of Bühlmann and we derive the best linearized credibility estimator for this ...original model, involving only one contract, contains the basics of all further credibility ...ter ...
4
Credit Default Swap (CDS) Prediction Model Trading Strategy
... Fixed-Effect Model, GLS Random-Effect Model, Pooled OLS and Quantile Regression ...fitness model, trading strategies with long and short positions in CDS have been ...quantile ...
38
An investigation on important factors influencing customer repurchase: A case study of Airline agencies
... conceptual model of this paper is estimated using multi-variable regression model and the results indicate that direct factors influence customer satisfaction, ...
6
Ciênc. saúde coletiva vol.17 número8
... Poisson’s regression models to each of the ex- planatory ...ZINB regression m odels. Thus, model adjustment to verify associations between death by suicide and other variables followed the steps ...
7
Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
... predictive model. Once the model is settled, the prediction samples are used to validate the accuracy of the ...reliable regression model based on the reduced number of samples available, the ...
8
Where Y is the extraction yield; β
... polynomial regression model was used to describe the experimental results, and based on the proposed model, whose availability and accuracy was verified by validation experiments, the optimal ...
6
Developing a gene expression model for predicting ventilator-associated pneumonia in trauma patients: a pilot study.
... predictive model was developed with 20 patients and was not tested on an independent sample of ...independent regression model, which included a leave-one-out cross validation ...
7
Increased avian diversity is associated with lower incidence of human West Nile infection: observation of the dilution effect.
... We also performed a linear regression model selection procedure in which we started with a maximal model that had the following predictors of the contrast for human incidence of WNV: spa[r] ...
8
Pesqui. Oper. vol.35 número1
... analysis, regression trees, logistic regression, logistic regression with state-dependent sample selection, bounded logistic regression and neural networks are among the most widely used ...
18