principal component regression analysis
Comparison Study of Partial Least Squares Regression Analysis and Principal Component Analysis in Fast-Scan Cyclic Voltammetry
... called principal components) accounted for ...PCR component was highly correlated with which ...PCR component and the concentration of the neurochemical was ...PCR component rank, with a rank ...
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Analysis of Principal Component Regression Equations of Air Transportation and Local Economy: Taking Tianjin as an Example
... With the Binhai New Area was included in the national development strategy, the Binhai New Area has played a leading role in the Bohai Sea region. A320 plane assembly line, being the first aircraft assembly line outside ...
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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 ...regression ...
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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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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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Modeling Macroeconomic Variables Using Principal Component Analysis and Multiple Linear Regression: The Case of Ghana’s Economy
... Bartlett's test of sphericity is statistically significant (≤0.05), and the KMO statistic exceeds 0.6 [14]. Kaiser-Meyer-Olkin Measure of Sampling Adequacy values which are greater than 0.7 by rule of thumb approach is ...
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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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A Review of Constrained Principal Component Analysis (CPCA) with Application on Bootstrap
... PCA was introduced in 1901 [12], it is a multivariate technique that analyzes a data in which observations are described by several inter correlated quantitative dependent variables. Its goal is to get the important ...
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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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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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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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Functional Analysis of Chemometric Data
... functional principal component analysis (FPCA) ...of principal com- ponent regression (PCR) and partial least squares (PLS) have been generalized to the functional case ...
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Multi adaptive Natural Language Generation using Principal Component Regression
... As reflected in Table 2, the analysis of PCR showed that both groups found it useful to refer to the average of marks when they remain stable. In addition, both groups found understandability when it increases ...
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SPECTROMETRIC DETERMINATION OF SOME HEAVY METALS IN COSMETIC PRODUCTS FOUND BY PRINCIPAL COMPONENT REGRESSION AND PARTIAL LEAST SQUARES METHODS
... used regression method in chemometrics ...with principal component regression (PCR) calibration for a PLS calibration it is known that information from the concentration values is introduced ...
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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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Principal Component and Multiple Regression Analysis for Steel Fiber Reinforced Concrete (SFRC) Beams
... hooked). Principal component and multiple regression analyses were performed to determine the most feasible model in predicting the shear strength of SFRC ...
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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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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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Statistical Prediction Of Laser Generation For A High-Powered Copper Bromide Vapor Laser
... factor analysis and principal component regression, an approach is proposed for predicting the laser generation of a copper bromide vapor laser with a wavelength of ...
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