Regression models
Comparison of Mixture and Classification Maximum Likelihood Approaches in Poisson Regression Models
... the regression coefficients and the mixture proportion have relatively small MSE and, in generality, the MSE of EM estimates are smaller than the MSE of CEM ...
8
Genetic evaluation for large data sets by random regression models in Nellore cattle
... evaluation, genetic parameters estimated by random regression models may not be satisfactory. In this study, the covariances estimates with RRM were similar to those with MTM from WB (one d) through weight ...
9
Efficiency determinants in Portuguese banking industry: an application through fractional regression models
... Tobit regression was considered by many authors to be more appropriate instead of simple linear models, which should be imposed a two-limit ...Tobit regression models to DEA efficiency scores, ...
9
Analysis of dental caries using generalized linear and count regression models
... GP regression models instead of Poisson regression model; Pandit and Javali (2007) suggested both GLM’s and ZI models for modelling dental caries count ...(GP) regression models ...
10
A review of a priori regression models for warfarin maintenance dose prediction.
... linear regression methods, have been ...fulfilling regression models were then compared to individual patient stable warfarin ...six regression models explained different amounts of ...
19
Identifying small market segments with mixture regression models
... Mixture regression models are predictive approaches for segmentation analysis (Wedel and Kamakura ...mixture regression models are also post hoc approaches (Wedel and Kamakura ...mixture ...
9
Application of alternative regression models to deal with proportions as dependent variables
... In accordance to Kieschnick and McCullough (2003) proportional data can be classified in four distributional categories: the first one comprises proportions on the open interval (0, 1); the second one includes the ...
37
Determining the number of components in mixture regression models: an experimental design
... Model selection decisions should be based on the data at hand and the results provided by information and classification criteria, as well as practical and theoretical considerations, in order to provide meaningful ...
11
Methods to verify parameter equality in nonlinear regression models
... nonlinear regression models were compared: (i) developed by Carvalho in 1996, performing ANOVA on estimates of parameters of individual fits; (ii) suggested by Regazzi in 2003, using the likelihood ratio ...
5
Metabolizable energy in energy food for growing pigs and cross- validation regression models
... 15 regression models estimated from the chemical and energetic composition of these foods, as reported in the national and international scientific literature, via meta-analysis, to obtain the predicted ...
9
A methodology for the design of experiments in computational intelligence with multiple regression models
... for regression tasks in the field of Computational Intelligence and especially on a correct comparison between the different results provided for different methods, as those techniques are complex systems that ...
22
Buffalos milk yield analysis using random regression models
... random regression models for estimating variance components and pre- dicting breeding values of the ...different models using the Legendre’s polynomial functions from second to fourth ...random ...
4
Selection of higher order regression models in the analysis of multi-factorial transcription data.
... Results: We set up four different linear regression models in a hierarchical order. We introduce the eruption plot as a new practical tool for model selection complementary to global testing. It visually ...
8
Zero-Inflated Mixed Poisson Regression Models
... existent models, such as ZINB and zero-inflated Poisson-inverse Gaussian (ZIPIG) regression models, as well as open the possi- bility of introducing new zero-inflated ...
85
Regression Models for Predicting Force Coefficients of Aerofoils
... three Regression analysis models developed wherein lift and drag coefficients can be found out using simple formula without having to deal with the bulk of the ...by regression models with R 2 ...
8
Regression Models to Assess the Thermal Performance of Brazilian Low-Cost Houses:...
... of regression models (meta-models) that allow to predict the discomfort by heat and/or by cold in a Brazilian low-cost house (LCH) in three distinct bioclimatic zones in Brazil, represented by the ...
160
ANALYSIS OF TUITION GROWTH RATES BASED ON CLUSTERING AND REGRESSION MODELS
... quantitative models to support their conclusions, or are limited to focus on only a few factors that might affect the tuition growth rate, failing to make a comprehensive ...
17
Weight evaluation of Tabapuã cattle raised in northeastern Brazil using random-regression models
... random-regression models, used for the evaluation of longitudinal data, such as growth characteristics, are even more accurate than uni ...random- regression models, a covariance matrix of ...
8
Stevia rebaudiana (Bert) Bertoni: regression models with mixed
... suggests regression models with generalized linear mixed models based on data, where the response variable is qualitative and the explanatory variables have fixed and random ...investigated ...
12
Beta-binomial/gamma-poisson regression models for repeated counts with random parameters
... Beta-binomial/Poisson models have been used by many authors to model multivariate count ...such models to accommodate repeated multivariate count data with overdipersion in the binomial ...both ...
18