[PDF] Top 20 Methods to verify parameter equality in nonlinear regression models
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Methods to verify parameter equality in nonlinear regression models
... ABSTRACT: In biologic experiments, in which growth curves are adjusted to sample data, treatments applied to the experimental material can affect the parameter ...estimates. In ... See full document
5
J. Braz. Chem. Soc. vol.23 número11
... was to setup QSPR (quantitative structure-property relationship) models, indicating the relationship of structural characteristics and physicochemical property with the microdialysis recovery of ... See full document
8
Bayesian inference for the fitting of dry matter accumulation curves in garlic plants
... classifications in groups by the cluster analysis was made by estimates obtained from equations that represented the curves related to each ...was to test the hypotheses for the parameter ... See full document
10
Calibration methods for the Hargreaves-Samani equation
... accuracy in the estimation of this ...due to the large number of required meteorological data. In this context, the Hargreaves-Samani equation could be used as alternative, although, for a better ... See full document
11
Parameter estimation methods for chaotic intercellular networks.
... studied in the physical, biological and social sciences that exhibit a rich dynamical behavior can be modeled by sets of nonlinear differential ...mathematical models are a useful tool to ... See full document
12
Regional models and minimal learning machines for nonlinear dynamical system
... (RMSE) in terms of prediction (one- step-ahead) and simulation over 10 independent ...process. In fact, for all repetitions, M was selected equals either ...kSOM models achieve results only slightly ... See full document
117
Sao Paulo Med. J. vol.135 número3
... literature, models were built and validated in four sequential steps: (i) parameter tuning with tenfold cross-validation, repeated three times; (ii) automatic variable selection using forward ... See full document
13
Comput. Appl. Math. vol.31 número2
... regularization methods are used in linear and nonlinear regression models to yield consistent ...fuzzy nonlinear regression model, then select the number of basis ... See full document
16
Lat. Am. j. solids struct. vol.10 número2
... formulated in terms of the partial differential equation of motion by many researchers [1-17] with different boundary ...cubic nonlinear vibrating tapered beams has been conducted by Bayat et ...solution ... See full document
11
QSAR study of acetylcholinesterase inhibitors for Alzheimer’s disease
... values. More than 3226 theoretical descriptors were selected and calculated. For each compound in the training sets, a correlation equation was derived using the same descriptors. The equation was then used ... See full document
7
Rev. Saúde Pública vol.43 número1
... concentrated in some individuals (polari- zation), and not in a specifi c case, particularly in some teeth, one could assume that by knowing the estimate of caries prevalence in a ... See full document
4
Rev. IBRACON Estrut. Mater. vol.10 número2
... due to the opening of inclined cracks at the most critical sections (in the inner supports), which are sub- jected to combined bending and shear ...limited to delections in beams under ... See full document
18
Nonlinear Time-varying Parameter Estimation from Noisy Measurements
... Online parameter estimation for time-varying systems is a fundamental part of adaptive control, real-time system monitoring and ...Gaussian. To overcome these shortcomings, a parameter estimation ... See full document
9
Paidéia (Ribeirão Preto) vol.27 número66
... used to collect the ...times. In the irst part, more related to the life stories, the goal was to obtain information on the family of origin and the current family of the interviewees; as well ... See full document
8
Fuzzy nonlinear regression using artificial neural networks
... linear regression analysis with symmetric triangular fuzzy number coefficient has been introduced by Tanaka et ...al. In this work we propose to approximate the fuzzy nonlinear ... See full document
11
Application of alternative regression models to deal with proportions as dependent variables
... is to estimate and compare alternative regression models when the dependent variable is a ...proportion. In the empirical application we used a sample with 1158 observations of US firms, taken ... See full document
37
Zero-Inflated Mixed Poisson Regression Models
... mentioned, in many real situations the assumption that samples are independent and identically distributed is too strong and the model parameters may depend on ...us to use the regression analysis ... See full document
85
Multilevel model analysis using R
... Multilevel models are usually used in statistical analysis of data that have a hierarchical or clustered ...data in various fi elds, like in educational research (schools – classes), social ... See full document
12
Prod. vol.17 número3
... The methods of Jiang et ...considered. In their application the data consist of times series for each of a number of ...Changes in the shape of the customers’ time series over time was of ...refer ... See full document
6
The sensitivity of flowline models of tidewater glaciers to parameter uncertainty
... increase in lateral ice flow convergence can limit this pos- itive feedback and stabilize the grounding line on a reverse bed slope for ice streams (Gudmundsson et ... See full document
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