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[PDF] Top 20 PARTIAL LEAST SQUARE - PATH MODELING

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PARTIAL LEAST SQUARE - PATH MODELING

PARTIAL LEAST SQUARE - PATH MODELING

... [r] ... See full document

104

Alternative smoothing strategies in smooth partial least squares path modelling

Alternative smoothing strategies in smooth partial least squares path modelling

... The software implementation and simulation plan, including the population design, will follow the methodology carried by Mendes et al. (2018) in what regards simulated population dimension, methodologies adopted for ... See full document

42

PARTIAL LEAST SQUARES REGRESSION BASED VARIABLES SELECTION FOR WATER LEVEL PREDICTIONS

PARTIAL LEAST SQUARES REGRESSION BASED VARIABLES SELECTION FOR WATER LEVEL PREDICTIONS

... Partial Least Squares (PLS) has been proven to be an effective approach to solve the problems in chemometrics such as by predicting the bioactivity of molecules to facilitate discovery of novel ...for ... See full document

9

Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy

Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy

... interval partial least squares (IPLS) and moving window partial least squares (MWPLS) for the enantiomeric analysis of tryp- tophan (Trp) was ...using partial least squares ... See full document

10

Partial least squares regression in the social sciences

Partial least squares regression in the social sciences

... Abstract Partial least square regression (PLSR) is a statistical modeling technique that extracts latent factors to explain both predictor and response ... See full document

11

A test for multigroup comparison using partial least squares path modeling

A test for multigroup comparison using partial least squares path modeling

... This paper presents initial insights into the efficacy of the tests for the comparison of the model-implied indicator correlation matrices across groups, while other questions remain unanswered and should be addressed by ... See full document

14

The Use of Partial Least Squares Path Modeling in Investigating the Relationship between Leadership, Motivation and Rewarding

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

Collocation Discrete Least Square (CDLS) Method for Elasticity Problems and Grid Irregularity Effect Assessment

Collocation Discrete Least Square (CDLS) Method for Elasticity Problems and Grid Irregularity Effect Assessment

... Moving least square shape functions: Among the available meshless approximation schemes, the moving least squares (MLS) method [22] is generally considered to be one of the best methods to ... See full document

7

American put option pricing : a comparison between neural networks and least-square Monte Carlo method

American put option pricing : a comparison between neural networks and least-square Monte Carlo method

... the Least-Square Monte Carlo Method from Longstaff and Schwartz [15] are compared, with LSM showing the best results also in terms of both accuracy and execution ... See full document

47

Modeling of Open Square Bifilar Planar Spiral Coils

Modeling of Open Square Bifilar Planar Spiral Coils

... Studies on modeling of open BPSCs acting at the series and parallel resonances are still rare. In [11] an open square BPSC is shown, but an electric model is not provided. In [8] the open BPSC is presented ... See full document

21

Bayesian Analysis for the Comparison of Nonlinear Regression Model Parameters: an Application to the Growth of Japanese Quail

Bayesian Analysis for the Comparison of Nonlinear Regression Model Parameters: an Application to the Growth of Japanese Quail

... nonlinear modeling method is introduced and compared with the classical nonlinear least squares (NLS) method using three non-linear models that are widely used in modeling the growth data of ... See full document

8

Recursive N-way partial least squares for brain-computer interface.

Recursive N-way partial least squares for brain-computer interface.

... In the article tensor-input/tensor-output blockwise Recursive N-way Partial Least Squares (RNPLS) regression is considered. It combines the multi-way tensors decomposition with a consecutive calculation ... See full document

13

The optimal number of partial least squares components in genomic selection for pork pH

The optimal number of partial least squares components in genomic selection for pork pH

... CAMPOS, C.F. et al. Genomic selection for boar taint compounds and carcass traits in a commercial pig population. Livestock Science, Amsterdam, v.174, p.10-17, 2015. Available from: <http://www. ... See full document

5

Physico-chemical characterization of prato cheese by infrared spectroscopy and partial least squares regression.

Physico-chemical characterization of prato cheese by infrared spectroscopy and partial least squares regression.

... PHYSICO-CHEMICAL CHARACTERIZATION OF PRATO CHEESE BY INFRARED SPECTROSCOPY AND PARTIAL LEAST SQUARES REGRESSION. In this work an analytical methodology for the determination of relevant physicochemical ... See full document

7

Braz. J. Phys.  vol.35 número4A

Braz. J. Phys. vol.35 número4A

... the square of the electronic transition dipole moments are di- rectly calculated along the normal coordinates of vibration and then expanded in a polynomial ...the square of the transition moments function, ... See full document

10

Relação peso / comprimento e fator de condição de Macrodon ancylodon (Bloch &amp; Schneider, 1801) capturada nas costas do Rio Grande do Sul (Latitude 29ºS a 32ºS ).

Relação peso / comprimento e fator de condição de Macrodon ancylodon (Bloch & Schneider, 1801) capturada nas costas do Rio Grande do Sul (Latitude 29ºS a 32ºS ).

... of the expression w: aL , adjusted by least square method, after a logarithmic transformation. We can observe three penods concemed length-weight relationsMp: fi) October,[r] ... See full document

3

The Use of Semi-parametric Methods in Achieving Robust Inference

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

Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia Departamento de Informática Extracção Automática de Tópicos de Documentos

Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia Departamento de Informática Extracção Automática de Tópicos de Documentos

... medida Least Bubbled Tf-Idf se considerarmos os resultados para o avaliador ...medida Least Bubbled Median Tf-Idf e 84% para Português em quatro medidas, Least Bubbled Median Tf-Idf, Bubbled Tf-Idf, ... See full document

283

Regional models and minimal learning machines for nonlinear dynamical system

Regional models and minimal learning machines for nonlinear dynamical system

... In this section, we briefly discuss artificial neural networks (ANN), specifically a special type of ANN called single-hidden layer feedforward networks (SLFN). The term “artificial neural networks” was originally ... See full document

117

Entrepreneurship failure: is culture to blame?

Entrepreneurship failure: is culture to blame?

... a Partial Least Squares Structural Equation Model (PLS-SEM) Analysis aiming to find a pattern between Hofstede’s Dimensions and the fear of failure and the rate of failure of entrepreneurship in the nations ... See full document

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