_____________________________________________________________________________ Abstract: Dimension reduction is one of the major tasks for multivariate analysis, it is especially critical for multivariate regressions in many P&C insurance-related applications. In this paper, we’ll present two methodologies, principle component analysis (PCA) and partial least squares (PLC), for dimension reducti...

in this paper, multivariate calibration methods of partial least squares (pls) and principle component regression (pcr) were investigated in simultaneously determination of hydrazine (hz) and acetylhydrazine (ahz). the aforementioned methods are based on formation of the silver nanoparticles (agnps) from the reaction of hz and ahz with ag+ ions as oxidizing agent in the presence of citrate ions...

Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to Adaboost and bagging approaches. In this paper the random forest approach is extended for variable selection with other learning models, in this case partial least squares (PLS) and kernel partial least squares (K-PLS) to estimate...

In the current paper the decoding algorithms for motor-related BCI systems for continuous upper limb trajectory prediction are considered. Two methods for the smooth prediction, namely Sobolev and Polynomial Penalized Multi-Way Partial Least Squares (PLS) regressions, are proposed. The methods are compared to the Multi-Way Partial Least Squares and Kalman Filter approaches. The comparison demon...

Quantitative analysis for the flue gas of natural gas-fired generator is significant for energy conservation and emission reduction. The traditional partial least squares method may not deal with the nonlinear problems effectively. In the paper, a nonlinear partial least squares method with extended input based on radial basis function neural network (RBFNN) is used for components prediction of...

Terahertz (THz) spectroscopy and multivariate data analysis were explored to discriminate eight wheat varieties. The absorption spectra were measured using THz time-domain spectroscopy from 0.2 to 2.0 THz. Using partial least squares (PLS), a regression model for discriminating wheat varieties was developed. The coefficient of correlation in cross validation (R) and root-mean-square error of cr...

Recognizing the potential contribution that interactive software agents bring to everyday work applications, this paper reports on end-user adoption of animated interface agents in one particular work application environment: Microsoft Office. The paper develops and empirically tests a theoretical model of the factors affecting an end-user’s choice to adopt and utilize such interface agents. Fr...

The proliferation of the ICT ,smart phone, mobile technologies and other devices such as tab, note pad has encourage the users, financial organization and banks to use more m-banking services than before. The adoption of ICT varies on country to country according to the nature or characteristics of the people. And now a days, m-banking is considered to be an inseparable factor for financial fir...

A recent SMJ article (Hulland, 1999) raises interesting questions about the proper use of partial least squares (PLS) in strategy research. The present note examines some of the issues raised in the article, and briefly extends the methodological discussion to the broader aspects of theory and empirical research in strategy.