Nonlinear models (Statistics)
Linear and nonlinear models in wind resource assessment and wind turbine micro-siting in complex terrain
... linear models of the fluid flow equations ...linear models are not appropriate and computational fluid dynamics (CFD), nonlinear models, can be most useful, entering all stages of wind energy ...
19
Nonlinear models for morphometric analysis in Bullfrog Tadpoles
... using nonlinear models, these relationships can provide important information that contributes to the improvement of breeding ...Brody nonlinear models and the best-fit model was ...different ...
11
Fitting of decomposition of sewage sludge and oat straw by nonlinear models
... the nonlinear models that describe carbon mineralization in the ...Cabrera models were used, considering structure of autoregressive errors AR (1) when ...evaluated nonlinear models ...
11
ARTIGO_Parameterization effects in nonlinear models to describe growth curves
... non-linear models with behavior distant of linear can have their asymptotic results invalidated, especially in situations where small samples are ...use nonlinear models, in order to always work with ...
6
NONLINEAR MODELS FOR DESCRIPTION OF CACAO FRUIT GROWTH WITH ASSUMPTION VIOLATIONS
... Nonlinear models have been used in plant science studies with satisfactory results, which allowed to estimate fruit growth parameters with biological interpretation, for example, on dwarf date palm (TERRA; ...
8
Description of the growth of pequi fruits by nonlinear models
... of nonlinear models, the estimation of parameters from the classical point of view is usually performed based on the minimization of the sum of squares of residuals, which leads to a system of normal ...
11
ARTIGO_Comparison of polynomial and nonlinear models on description of pepper growth
... recommend nonlinear models for growth description, as they are asymptotic and do not reach a maximum point as it happens with polynomial ...These models have the advantage of having smaller number of ...
7
Nonlinear models to describe height and diameter of sugarcane RB92579 variety
... regression models that help identifying morphological differences of plants, to quantify production and to adapt management with phenological phases (FERNÁNDEZ-CHUAIREY et ...linear models are more widely ...
7
NONLINEAR MODELS TO PREDICT NITROGEN MINERALIZATION IN AN OXISOL
... eight nonlinear models used to predict nitrogen mineralization in soils of the Southern Minas Gerais State, ...for nonlinear models with and without structure of autoregressive errors was made ...
6
Univariate and multivariate nonlinear models in productive traits of the sunn hemp
... Logistic nonlinear models to describe the productive traits of sunn hemp ( Crotalaria juncea ...univariate models were adjusted for each productive ...multivariate models, the errors ...
10
Selection of nonlinear models for the description of the growth curves of coffee fruit
... the nonlinear regression models Logistic e Gompertz in the description of the growth curves of coffee fruit, considering the heterogeneity of sampling variances, in the different faces of sunlight ...the ...
9
Comparison of nonlinear models for the description of carbon mineralization in soils treated with pig slurry
... of nonlinear models to data of carbon mineralization from pig slurry; and Silveira et ...fitting nonlinear models t o accumulated production of biogas from pig ...
14
ESTIMATE OF Alabama argillacea (HÜBNER) (LEPIDOPTERA: NOCTUIDAE) DEVELOPMENT WITH NONLINEAR MODELS
... Linear models were the first developed for insects (Howe, 1967) but the lack of linearity of insect developmental rate at low and high temperatures suggests that such models are inadequate to describe this ...
10
Fitting soil-water characteristic curves by truncated normal nonlinear regression models. - Portal Embrapa
... In the present paper, we propose an alternative approach for estimating SWCC based on generalized nonlinear models, assuming that the response variable follows a truncated normal distribution. The ...
5
Regional models and minimal learning machines for nonlinear dynamical system
... Fast models are preferred, and precautions may be taken in order to not produce over- parametrized nonlinear models, since the amount of data in each region can be ...candidate models are the ...
117
Truncated beta nonlinear regression models for soil-water characteristic curves estimation. - Portal Embrapa
... In the present paper, we propose an alternative approach for estimating SWCC based on generalized nonlinear models, assuming that the response variable follows a truncated beta distribution. The parameters ...
15
Methods to verify parameter equality in nonlinear regression models
... in nonlinear models, us- ing linear approximation, is that the expected surface in the parametric space should be flat so that the tangent plane would give a precise ...are nonlinear relative ...
5
Mapping nonlinear gravity into General Relativity with nonlinear electrodynamics
... of nonlinear models of matter, specially those in NEDs [ 18 – 33 ...NED models, in particular, into those discarded on the GR side due to their lack of physical meaning, as the NED counterpart on the ...
11
Dynamical behaviour of epidemiological models with sub-optimal immunity and nonlinear incidence
... The estimation of a nonlinear relationship between prevalence of infection and the transmission capacity (or coefficient) from epidemiological data is difficult. This requires some form of data stratification [6] ...
17
Development of computational anisotropic hypoelastic- and hyperelastic-based models including nonlinear kinematic hardening
... a nonlinear (exponential for a monotonic uniaxial loading) evolu- tion law for the back stress tensor, the so-called Armstrong-Frederick law, by introducing a recall (dynamic recovery) term, collinear with the ...
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