Nonlinear regression
Fuzzy nonlinear regression using artificial neural networks
... linear regression analysis with symmetric triangular fuzzy number coefficient has been introduced by Tanaka et ...fuzzy nonlinear regression using Artificial Neural Net- ...
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Stability and adaptability of runner peanut genotypes based on nonlinear regression and AMMI analysis
... Abstract – The objective of this work was to estimate the stability and adaptability of pod and seed yield in runner peanut genotypes based on the nonlinear regression and AMMI analysis. Yield data from 11 ...
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Analysis of adsorption isotherms of Cu(II), Ni(II), Pb(II) and Zn(II) by N-(3,4-dihydroxybenzyl) chitosan using nonlinear regression method.
... USING NONLINEAR REGRESSION ...data. Nonlinear regression computational program “Enzefitte”, which is a library of the more com- monly used adsorption isotherm equations for obtaining tabular ...
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Aplicação de modelos de regressão linear e não linear para estimativa de volume de biomassa e estoque de carbono / Application of linear and nonlinear regression models for biomass and carbon stock volume estimates
... and nonlinear regression analysis can provide the comparison of biomass volume and carbon stock estimation models and provide parameters for vegetation ...and nonlinear regression of a planted ...
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Methods to verify parameter equality in nonlinear regression models
... in 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 ...
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Growth curve by Gompertz nonlinear regression model in female and males in tambaqui (Colossoma macropomum)
... Gompertz nonlinear regression ...appropriate nonlinear equation to describe the tambaqui growth, together with the Logistic model (Costa et ...
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Bayesian Analysis for the Comparison of Nonlinear Regression Model Parameters: an Application to the Growth of Japanese Quail
... Although Bayesian methods have become well established in the animal science literature and have been successfully applied to linear models (Theobald et al., 1997; Firat et al., 1997a; Firat et al., 1997b; Firat, 2001), ...
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Ana Carolina Campana Nascimento2 Antônio Policarpo Souza Carneiro2 Fabyano Fonseca e Silva3 Mário Puiatti4 Ana Carolina Ribeiro de Oliveira2
... 2009). Nonlinear regression models are appropriate for describing growth curves because their formulations are based on inherent theoretical considerations of the phenomenon under study (MAZUCHELI & ...
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Comput. Appl. Math. vol.31 número2
... and nonlinear regression mod- ...the nonlinear models, instrumental variables estimation seems ...to nonlinear settings is recommended. The Poisson regression model [25] and the probit ...
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Mat. Res. vol.12 número2
... various scientific works 6-9. In this respect, nonlinear regression is more flexible; moreover, it can be applied to other types of equa- tion, not only to those that [r] ...
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Statistical modeling of fatigue crack growth rate in Inconel alloy 600
... are nonlinear regression models. A nonlinear model has at least one parameter (quantity to be estimated) that appears nonlinearly ...[14,15]. Nonlinear regression is an iter- ative ...
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Bayesian inference for the fitting of dry matter accumulation curves in garlic plants
... time, where L showed better performance than that of the B, G, L, M, M1, M2, vB, and Meloun III models. The L model fitted the data well in several experiments with nonlinear regression models, for the ...
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Mountain birch – potentially large source of sesquiterpenes into high latitude atmosphere
... To study the temperature and light dependence of VOC emission rates we performed nonlinear regression analysis using two widely applied emission algorithms. It describes emissions from s[r] ...
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Milk production and percentages of fat and protein in Holstein breed cows raised in Rio Grande do Sul, Brazil
... a nonlinear regression model that better describes the milk production and the percentages of fat and protein curves, and to identify the season and age of calving that result in higher ...appropriate ...
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Matéria (Rio J.) vol.20 número1
... A good agreement was obtained between the experimental and simulated relative crystallinity curves using calculated parameters by nonlinear regression. It shows that this method can be used to determine the ...
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Pesqui. Oper. vol.35 número1
... logistic regression and bounded logistic regression ...tic regression with state-dependent sample selection ...logistic regression models underestimate such ...
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SOFTWARE ARCHITECTURE BASED REGRESSION TESTING
... code-level regression testing with architecture-based regression ...code-level regression testing and for architecture-based regression testing ...
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Comput. Appl. Math. vol.25 número1
... This work is organized as follows: section 2 presents generalities of the mixed nonlinear complementarity problem, and section 3 presents both the method for solving the MNCP via optimization, and existence and ...
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Lat. Am. j. solids struct. vol.9 número2
... Vibration; Nonlinear Response; Analytical Meth- ods ;Parameter Perturbation Method (PPM) ; Variational Iteration Method(VIM);Homotopy Perturbation Method (HPM); Iteration Perturbation Method (IPM); Energy Bal- ...
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On Solvability of the Nonlinear Optimal Control Problem for Processes Described by the Semi-linear Parabolic Equations
... of nonlinear thermal and diffusion processes optimal control problems, described by semi- linear parabolic equations, there occurs a peculiar new problem ...of nonlinear integral ...
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