[PDF] Top 20 A new least-squares approach to differintegration modeling
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A new least-squares approach to differintegration modeling
... a new least-squares (LS) approach is used to model the discrete-time fractional ...This approach is based on a mismatch error between the required response and the one obtained ... See full document
10
A test for multigroup comparison using partial least squares path modeling
... distance to compare the model-implied indicator correlation matrix across ...permutation to obtain the corresponding reference distribution to draw statistical inference about group ...comparison ... See full document
14
Deformation analysis with Total Least Squares
... classical approach, transformation parameters are es- timated by the LS adjustment of the observation equations where only the observations are considered as ...classical least squares and this ... See full document
7
Bayesian Analysis for the Comparison of Nonlinear Regression Model Parameters: an Application to the Growth of Japanese Quail
... Bayesian approach as an alternative to the classical analysis of nonlinear models for growth curve data in Japanese ...nonlinear modeling method is introduced and compared with the classical ... See full document
8
TOWARDS A GENERIC METHOD FOR BUILDING-PARCEL VECTOR DATA ADJUSTMENT BY LEAST SQUARES
... a least squares estimation of correction parame- ters is that we can draw information from patent inconsistencies to propagate them on some neighborhood to latent positional er- ...This ... See full document
8
River flow time series using least squares support vector machines
... ANN to hydrology include modelling river flow forecast- ing (Dolling and Varas, 2003; Muhamad and Hassan, 2005; Kisi, 2008; Wang et ...rainfall-runoff modeling (De Vos and Rientjes, 2005; Hsu et ...hard ... See full document
18
Estimating hierarchical constructs using consistent partial least squares
... indicator approach using the “Mode B” outer weighting scheme (see Henseler, 2010, for an explanation of model weighting options in PLS) and the two-stage approach can be ...paths to and from the ... See full document
21
A hybrid least squares support vector machines and GMDH approach for river flow forecasting
... used to deal with uncertainty, linear or nonlinearity of systems in a wide range of disciplines such as engineering, science, economy, medical diagnostics, signal pro- cessing and control systems (Tamura and ... See full document
41
A new approach to constrained total least squares image restoration
... In classical image restoration, the PSF is assumed to be known or adequately sampled [1]. However, in practice, one is often faced with imprecise knowledge of the PSF. For instance, in two-dimensional ... See full document
22
Recursive N-way partial least squares for brain-computer interface.
... Partial Least Squares modeling is particularly suited ...Partial Least Squares [18] allows online identification of Partial Least Squares ...PLS to the case of ... See full document
13
Alternative smoothing strategies in smooth partial least squares path modelling
... (2012), to incorporate a wide span of nonlinear relationships, with an added true linear relationship to assess to what extent the PLSs method can capture linear ... See full document
42
PARTIAL LEAST SQUARES REGRESSION BASED VARIABLES SELECTION FOR WATER LEVEL PREDICTIONS
... used to estimate the prediction capacity and the data are separated between the training data set to build the model and testing data set to test the ...method to evaluate the algorithms by ... See full document
9
The Use of Semi-parametric Methods in Achieving Robust Inference
... three it is proposed a new approach to estimating the covariance matrix of the least square (henceforth LS) estimator in a linear regression model.. This ap-.[r] ... See full document
145
Molecular Modeling Approach to Cardiovascular Disease Targetting
... prescribed to the lower cholesterol also reduce this inflammation, suggesting an additional beneficial effect of the ...enabled to improve significantly the tolerability profile of this group of drugs while ... See full document
8
The Use of Partial Least Squares Path Modeling in Investigating the Relationship between Leadership, Motivation and Rewarding
... Bu çalışmanın amacı sosyal bilimler alanında yapılan çalışmalarda sıkça kullanılan, yol analizi ve doğrulayıcı faktör analizi gibi çok değişkenli istatistiksel yöntemler arasında ortak [r] ... See full document
24
Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy
... The prediction performance of the obtained MWPLS model was still assessed by external test validation and leave-one-out cross validation. In the external test validation, Group I was used as the calibration set to ... See full document
10
Fault Detection and Isolation in Dynamic Systems using Statistical Local Approach and Hybrid Least Squares Algorithm
... [r] ... See full document
1
Derivation and assessment of a mixed layer sub-mesoscale model
... applied to the equations for the mean T (temperature), S (salinity) and C (passive scalar such as ...is to be used in OGCMs that resolve mesoscales but not ... See full document
36
Tropospheric profiles of wet refractivity and humidity from the combination of remote sensing data sets and measurements on the ground
... UTC to 4 June 2011 23:50:00 UTC where some problems in storing the data oc- curred ...belong to the Automated GNSS Network for Switzerland ...used to derive the zenith total path delays for this ... See full document
16
Context-Specific Metabolic Model Extraction Based on Regularized Least Squares Optimization.
... As commented before, all context-specific models share a core set of 299 reactions in the case of RegrEx extracted models. If we consider the TNR in each metabolic category we obtain a distribution like the one displayed ... See full document
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