partial least square regression
Partial least square regression applied to the QTLMAS 2010 dataset
... independently. Regression coefficients for the markers were used to calculate the variance of each marker and inference of quantitative trait loci (QTL) was based on local maxima of a smoothed line traced through ...
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TRUST IN FINANCIAL MOBILE APPS – A PARTIAL LEAST SQUARE REGRESSION APPROACH
... After demonetisation, Government of India and private companies are trying to encourage cashless transactions through financial mobile apps. The major financial mobile apps include BHIM promoted by National Payments ...
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Descriptive and multivariate analysis of microbial environmental monitoring of the hospital in the area Rharb, Kenitra (Morocco)
... The APC allowed us to observe two groups (GA) correlation between the different services and the group germs (GB) where there is predominance of bacteria: Bacillus and Klebsielapneumoniae in service resuscitation. ...
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Soil Quality Assessment By Near Infrared Spectroscopy: Predicting Ph And Soil Organic Carbon
... Prediction models were developed in order to determine pH and SOC of agricultural soil samples. Principal component regression (PCR) and partial least square regression (PLS) were ...
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Detection of Plasmodium falciparum infected Anopheles gambiae using near infrared spectroscopy
... The relationship between spectra and infection was ana- lyzed using partial least square regression (PLS). Train- ing datasets were used to perform multiple leave-one-out cross validations ...
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Short Term Electric Load Prediction by Incorporation of Kernel into Features Extraction Regression Technique
... kernel partial least square regression and kernel principal component regression, and both of them are carried out by polynomial and Gaussian kernels to map the original features’ to ...
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Vegetation Water Content Prediction: Towards More Relevant Explicatory Waveband Variables
... linear regression (SMLR) and partial least square regression (PLSR) for vegetation water content prediction using the absorption ...
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Handling Multicollinearity; A Comparative Study Of The Prediction Performance Of Some Methods Based On Some Probabiltiy Distributions
... of partial least square regression (PLSR), ridge regression (RR) and LASSO regression (LR) ...Ordinary Least Squares may fail if the variables are almost collinear or ...
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Application of Fourier transform infrared (FTIR) spectroscopy coupled with multivariate calibration for quantitative analysis of curcuminoid in tablet dosage form
... Multivariate analyses consisted of partial least square regression (PLSR) and principal component regression (PCR) were performed using software TQ Analyst ver.9.7 (Thermo Fisher ...
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Partial Least Square Path analysis of knowledge, Attitude and Practice Regarding Dengue
... The inner model is mostly referred to as structural model; it represents the connection of the latent variables somehow depicting a causal process or a network that can be represented in a path matrix format. The path ...
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Comparing three methods of handling multicollinearity using simulation approach
... of regression analysis, multicollinearity is a problem that always occurs when two or more predictor variables are correlated with each ...the least squares estimated regression coefficients to be ...
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Least Orthogonal Distance Estimator and Total Least Square
... Least Orthogonal Distance Estimator and Total Least Square Naccarato, Alessia and Zurlo, Davide and Pieraccini, Luciano Department of Economics - Roma Tre University.[r] ...
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A Comparative Study On Some Methods For Handling Multicollinearity Problems
... In regression, the objective is to explain the variation in one or more response variables, by associating this variation with proportional variation in one or more explanatory ...in regression analysis. ...
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Comparative Analysis Of Least Square Regression And Fixed Effect Panel Data Regression Using Road Traffic Accident In Nigeria
... made a significant impact in the reduction of road traffic accident in the country. Therefore there is need to increase the number of FRSC staff in order to reduce road traffic accident in Nigeria. Table 6 shows that ...
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Developing non destructive techniques to predict 'Hayward' kiwifruit storability : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Food Technology at Massey University, Palmerston North, New Zealand
... Figure 3.3 Average FF (N) as a result of preharvest manipulation of crop load and girdling (A) during the entire storage (days) period and (B) after 100 days of storage. HCG: High crop load with girdling. LCG: Low crop ...
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Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
... Both multivariate and univariate regression models were studied. Multivariate kernel PLS tries to find components that are good predictors for all response variables. In the final model the same components are used ...
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Analysis of the Determinants of Spatial Inequality in Ghana Using Two-Stage Least-Square Regression
... two-stage least-square (2SLS) regression method, and using district-level data, we develop a model to test the effects of several factors on socio-economic development, including levels of ...
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Data driven approach to machine condition prognosis using least square regression trees
... using least square method [11], the fit model are subsequently chosen based on the sum of squares due to error (SSE) and the root mean squared error (RMSE) criterions: ...
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Diabetes Prediction using Linear Regression, Decision Tree & Least Square Support Vector Machine
... Confusion Matrix pertaining set of predictors among which some are significant in terms of mean and variance than others where estimating the predictors if the same significant predictors before prediction, pose as ...
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On the ease of predicting the thermodynamic properties of beta-cyclodextrin inclusion complexes
... machine regression has been described in detail by Drucker et al ...vector regression is a straightforward variant of support vector machine (SVM) classification ...vector regression (SVMR) the same ...
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