Regression and Principal Component Analysis
Modeling Macroeconomic Variables Using Principal Component Analysis and Multiple Linear Regression: The Case of Ghana’s Economy
... the Principal Component Analysis and multiple linear ...matrix. Principal Component Analysis was performed to reduce the factors (using orthogonal varimax technique to produce ...
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Credit Scoring Process using Banking Detailed Data Store
... The credit scoring process satisfies Full BASEL II guidelines. It uses an integrated System, a data mart (DDS) to acquire data from source systems to ETL process, followed by selecting input data processing to generate ...
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Comparison Study of Partial Least Squares Regression Analysis and Principal Component Analysis in Fast-Scan Cyclic Voltammetry
... Here, we demonstrate the better performance achieved by applying PLSR to FSCV analysis in the estimation of features of chemical fluctuations compared with that of PCR. We used conventional FSCV recordings to ...
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New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers
... linear regression models using real data and simulated ...Ridge Regression (RR), Principal Component Regression (PCR) and ordinary least squares (OLS) are discussed in ...linear ...
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Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis
... Results: Principal component analysis, linear discriminant analysis, partial least squares discriminant analysis, classification and regression trees and multivariate curve ...
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Pattern analysis of genotype x environment interactions and comparisons with alternative analyses : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Plant Science at Massey University
... 1979 in developing a regression model where the environmental index used was constructed through the use of Principal Component Analysis on a number of environmental variables.. Both gro[r] ...
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Statistical Prediction Of Laser Generation For A High-Powered Copper Bromide Vapor Laser
... statistical analysis 93 experiment results for high- powered CuBr laser have been ...factor analysis and principal component regression (PCR) [5, ...Factor analysis is applied in ...
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Mechanistic study of P retention by dewatered waterworks sludges
... 384 385 386 387 Table 3 Principal component analysis of the physicochemical characteristics of the seventeen dewatered waterworks sludges; and linear regression analysis between the thre[r] ...
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Determinants of Non-Performing Loans in the Banking Sector of Ghana Between 1998 and 2013
... with the lowest of 0.20 with Macao globally. This concern must be addressed in the Banking Industry of Ghana as a high ratio may signal deterioration of the credit portfolio. This can have negative impact on the overall ...
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Total luminescence spectroscopy for differentiating between brandies and wine distillates
... the principal component analysis (PCA), soft inde- pendent modelling of class analogy (SIMCA), hierarchical cluster analysis (HCA), canonical analysis (CA), discriminant analysis ...
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Principal Component and Multiple Regression Analysis for Steel Fiber Reinforced Concrete (SFRC) Beams
... linear regression model is a typically form of simple models where more than one independent variables are ...The principal component regression (PCR), special types of regression, can ...
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Multivariate Analysis for Modeling of Air Pollutants and Ozone Concentration in Dimitrovgrad, Bulgaria
... multivariate analysis of hourly data on 9 air pollutants and 6 meteorological variables in the town of Dimitrovgrad, Bulgaria over a period of 7 years and 3 ...of Principal Component Analysis ...
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Analysis of Principal Component Regression Equations of Air Transportation and Local Economy: Taking Tianjin as an Example
... multiple regression model are highly ...multiple regression model with correlated predictors can indicate how well the entire bundle of pre- dictors predicts the outcome variable, but it may not give valid ...
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Multi adaptive Natural Language Generation using Principal Component Regression
... combines Principal Com- ponent Analysis (PCA) (Jolliffe, 1986) with lin- ear ...the principal compo- nents, in our case, the factors that contribute the most to the ...Then, regression is ...
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Chemometric Feature Selection and Classification of Ganoderma lucidum Spores and Fruiting Body Using ATR FTIR Spectroscopy
... using principal component discriminant analysis (PCDA) [14]-[16] and partial least squares dis- criminant analysis (PLSDA) ...PLS regression on the pre-treated spectra followed by a LDA ...
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A Principal Component Regression Approach for Estimating Ventricular Repolarization Duration Variability
... Tiina Lyyra-Laitinen received the M.S. de- gree in 1991, the Ph.D. degree in 1998, and degree of Hospital Physicist from the University of Kuopio, Finland. Her Ph.D. research was concerned with arthroscopic measurement ...
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SPECTROMETRIC DETERMINATION OF SOME HEAVY METALS IN COSMETIC PRODUCTS FOUND BY PRINCIPAL COMPONENT REGRESSION AND PARTIAL LEAST SQUARES METHODS
... linear regression analysis of the added concentration and the concentration found in the synthetic mixtures were realized for each cosmetic products and for each calibration ...this regression ...
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A brief introduction to multivariate methods in grape and wine analysis
... data analysis regression analysis is to develop a calibration model which correlates the information in the set of known measurements to the desired ...data analysis algorithms for performing ...
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A SURVEY: PRINCIPAL COMPONENT ANALYSIS (PCA)
... 320 | P a g e Figure 4.5: The reconstruction from the data that was derived using only a single eigenvector Compare it to the original data plot in Figure 4.1 and you will notice how, while the variation along the ...
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Dimensionality Reduction of Image Feature Based on Mean Principal Component Analysis
... features. Principal Component Analysis (PCA) is one of the common and effective method of dimensionality reduction of feature level ...of principal component, the method presented in ...
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