Now showing items 1-10 of 1399
Robust principal components for hyperspectral data analysis
Remote sensing data present peculiar features and characteristics that may make their statistical processing and analysis a difficult task. Among them, it can be mentioned the volume of data involved, the redundancy, the ...
Evaluation of the growth of enterobacteria in fructooligosaccharides using the principal components analysis
(Universidade Tecnológica Federal do Paraná (UTFPR), 2016)
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins
(American Chemical Society, 2017-04)
Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: ...
Application of Principal Component Analysis to Elucidate Experimental and Theoretical Information
Principal Component Analysis has been widely used in different scientific areas and fordifferent purposes. The versatility and potentialities of this unsupervised method for dataanalysis, allowed the scientific community ...
A new principal component analysis-based approach for testing "similarity" of drug dissolution profiles
(Elsevier Science, 2008-05)
A new approach for testing batch "similarity" through comparison of drug dissolution profiles, based on principal component analysis with the establishment of a confidence region (PCA-CR), is presented. The dissolution ...
Stratosphere/troposphere joint variability in southern South America as estimated from a principal components analysis
(Springer Wien, 2017-06)
To understand how the tropopause annual evolution relates to the troposphere and lower stratosphere over southern South America, the study analyzes the joint behavior of single and double thermal tropopauses with the 500 ...
Functional data analysis for Brazilian term structure of interest rate curves
(Lociedade Brasileira de Finanças, 2022)