Linear model
Dynamic generalized linear model via product partition model
... dynamic linear models (DLM’s) was ...generalized linear models (DGLM’s) is an atrractive extension of the DLM for observa- tions in the exponential family and, in turn, corresponds to an extension of ...
70
A Signal-to-Noise Ratio Estimator for Generalized Linear Model Systems
... generalized linear model systems We extend the SNR definitions presented in the previous sections to Generalized Linear Model (GLM) ...any model in the exponential family to a set of ...
7
A MINE alternative to D-optimal designs for the linear model.
... out model-guided discovery about a system from a sequence of n ...underlying model is called utilizing the Maximally Informative Next Experiment (MINE) ...the linear model, Y ~X bz", where ...
13
A linear model for transcription factor binding affinity prediction in protein binding microarrays.
... a linear model for uncovering TF binding specificity based on PBM ...our model using data and metrics from the DREAM5 transcription factor/DNA motif recognition challenge, our model can also ...
13
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less
... this model is an important tool for ecophysiological studies of ...this model would enable researches to do non-destructive measurements and repeat measurements in the same leaf, excluding the use of ...
5
Effective coastal boundary conditions for tsunami wave run-up over sloping bathymetry
... In Fig. 11, we show the initial profile. The dashed and dotted-dashed lines again represent the linear model coupled to the NSWE, and the solid one represents the linear model with an EBC ...
53
Fuzzy optimization of primal-dual pair using piecewise linear membership functions
... the model of Bector and Chandra on duality in fuzzy linear programming by using non-linear membership ...non–linear model to demonstrate the obtain ...
10
Homotopy analysis method for mixed convective boundary layer flow of a nanofluid over a vertical circular cylinder
... Most scientific problems and phenomena are modeled by non-linear ordinary or par- tial differential equations. As an example, boundary layer flows can be mentioned. Therefore, the study on the various methods used ...
13
Predictive dynamics of human pain perception.
... a model simplification to contrast our ...the linear proportionality implies that temperatures a few degrees below the skin injury threshold will be reported only with proportionally weaker intensity than ...
12
An individual tree growth model for juvenile cork oak stands in southern Portugal
... used model is the simple linear model in which the most significant regressor is, usually, the diameter at breast height ( GONÇALVES , 2002; GILL et ...multiple linear models and different ...
12
Digital controller design considering hardware constraints: application in a paraplegic patient
... mathematical model that relates the electrical stimulation (input) to the volunteer leg’s angle (output) is not linear (this fact can be proven as demonstrated by Ferrarin and Pedotti ...a linear ...
10
Int. braz j urol. vol.34 número4
... climate model of in- termediate severity warming (SRESa1b) indicate a climate-related increase of ...(nonlinear model) or increase steadily with temperature change (linear model) or some ...
2
Braz. J. Chem. Eng. vol.31 número1
... packages. Model uncertainty may occur when a linear model is used to approximate the model of a nonlinear ...the linear model is ...
14
Pesqui. Oper. vol.35 número2
... In this paper, new implementations of the Lasso and ALasso methods for variables selection in the Cox model were proposed to address the problem of selecting the profile of in debt clients of a Brazilian Telephone ...
21
Neural Network Based Model Refinement
... nonlinear model generators use predefined analytical forms for generating ...nonlinear model generators build automatically analytical expressions containing influence ...nonlinear model generator is ...
9
USE OF THE SIMPLE LINEAR REGRESSION MODEL IN MACRO-ECONOMICAL ANALYSES
... the 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
An empirical comparison of forward-rate and spot-rate models for valuing interest-rate options
... Set One: One-factor forward-rate model with linear proportional volatil- ity, two-faetor spot-rate model with long rate and spread, two- faetor spot-rate model with stoch[r] ...
21
Parameters Identification of Nonlinear DC Motor Model Using Compound Evolution Algorithms
... traditional model of DC motor is a 2-order linear one, which ignores the dead nonlinear zone of the ...to model the dead zone of DC motor accurately in order to improve the performance of servo ...
6
Métodos de dimensionamento de vias-férreas
... O modelo Multilayer Track Analysis - Multa (Prause e Kennedy, 1977) combina o modelo elástico multicamadas de Burmister para a subestrutura com um outro modelo tridimensional, por elementos finitos, para análise da ...
120