Log in

Relevant bibliographies by topics / Chemometrics. Principal components analysis. Multivariate analysis

Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers

Academic literature on the topic 'Chemometrics. Principal components analysis. Multivariate analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Chemometrics. Principal components analysis. Multivariate analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Chemometrics. Principal components analysis. Multivariate analysis"

1

Aruga, Roberto. "Proton dissociation of aqueous organic acids studied by multivariate chemometrics." Canadian Journal of Chemistry 73, no. 12 (1995): 2170–77. http://dx.doi.org/10.1139/v95-269.

Full text

Abstract:

Thermodynamic data of proton dissociation of 75 organic acids belonging to four classes (protonated amines, aliphatic carboxylic acids, benzoic acids, phenols) have been processed by multivariate chemometric techniques. The variables consist of conventional thermodynamic quantities (Gibbs function, enthalpy, entropy) and of partial components of these quantities (internal and external, electrostatic and nonelectrostatic components). The above data refer to the aqueous medium, at 25 °C and I = 0 mol dm−3. The Gibbs function of deprotonation in the gas phase and the Hammett σ constant have also

APA, Harvard, Vancouver, ISO, and other styles

2

Iannucci, Leonardo. "Chemometrics for Data Interpretation: Application of Principal Components Analysis (PCA) to Multivariate Spectroscopic Measurements." IEEE Instrumentation & Measurement Magazine 24, no. 4 (2021): 42–48. http://dx.doi.org/10.1109/mim.2021.9448250.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Yehia, Ali M., Heba T. Elbalkiny, Safa’a M. Riad, and Yasser S. Elsaharty. "Application of Chemometrics for Spectral Resolving and Determination of Three Analgesics in Water Samples." Journal of AOAC INTERNATIONAL 103, no. 1 (2020): 257–64. http://dx.doi.org/10.5740/jaoacint.19-0140.

Full text

Abstract:

Abstract Background: Chemometrics is a discipline that allows the spectral resolution of drugs in a complicated matrix (e.g., environmental water samples) as an alternative to chromatographic methods. Objective: Three analgesics were traced in wastewater samples with simple and cost-effective multivariate approaches using spectrophotometric data. Methods and Results: Four chemometric approaches were applied for the simultaneous determination of diclofenac, paracetamol, and ibuprofen. Partial least squares (PLS), principal component regression (PCR), artificial neural networks (ANN), and multiv

APA, Harvard, Vancouver, ISO, and other styles

4

Nedyalkova, Miroslava, and Vasil Simeonov. "Multivariate Chemometrics as a Strategy to Predict the Allergenic Nature of Food Proteins." Symmetry 12, no. 10 (2020): 1616. http://dx.doi.org/10.3390/sym12101616.

Full text

Abstract:

The purpose of the present study is to develop a simple method for the classification of food proteins with respect to their allerginicity. The methods applied to solve the problem are well-known multivariate statistical approaches (hierarchical and non-hierarchical cluster analysis, two-way clustering, principal components and factor analysis) being a substantial part of modern exploratory data analysis (chemometrics). The methods were applied to a data set consisting of 18 food proteins (allergenic and non-allergenic). The results obtained convincingly showed that a successful separation of

APA, Harvard, Vancouver, ISO, and other styles

5

Rafi, Mohamad, Sifa Awalul Fikriah, Rifki Husnul Khuluk, and Utami Dyah Syafitri. "Discrimination of cassava, taro, and wheat flour using near-infrared spectroscopy and chemometrics." Jurnal Kimia Sains dan Aplikasi 23, no. 10 (2020): 360–64. http://dx.doi.org/10.14710/jksa.23.10.360-364.

Full text

Abstract:

There is a difference in the selling price for cassava, taro, and wheat flour, with taro flour having a higher price. It could be a reason for adulterating the taro flour from the other two flours and reducing quality. This study aims to distinguish the three types of flour using the near-infrared (NIR) spectra combined with chemometrics. The NIR spectra of all samples were measured at a wavelength of 1000-2500 nm. The multivariate analysis used was principal component analysis (PCA), and PCA followed with discriminant analysis (DA). The preliminary process of the signal using area normalizati

APA, Harvard, Vancouver, ISO, and other styles

6

Munck, L., and B. Møller. "Principal Component Analysis of Near Infrared Spectra as a Tool of Endosperm Mutant Characterisation and in Barley Breeding for Quality." Czech Journal of Genetics and Plant Breeding 41, No. 3 (2011): 89–95. http://dx.doi.org/10.17221/3666-cjgpb.

Full text

Abstract:

Near infrared technology, now widespread in quality control, makes it possible to obtain a total multivariate physical chemical fingerprint of the barley endosperm with high precision. Whole spectroscopic fingerprints of the physics and chemistry of barley seeds can be interpreted by multivariate analysis (chemometrics), by Principal Component Analysis (PCA) for classification and Partial Least Squares Regression (PLSR) for correlation. PCA classification of Near Infrared Reflectance (NIR) spectra can differentiate between mutants and alleles in the lys3 and lys5 loci. PCA on NIR can also be u

APA, Harvard, Vancouver, ISO, and other styles

7

Simeonov, Vasil, Juergen Einax, Stafan Tsakovski, and Joerg Kraft. "Multivariate statistical assessment of polluted soils." Open Chemistry 3, no. 1 (2005): 1–9. http://dx.doi.org/10.2478/bf02476233.

Full text

Abstract:

AbstractThis study deals with the application of several multivariate statistical methods (cluster analysis, principal components analysis, multiple regression on absolute principal components scores) for assessment of soil pollution by heavy metals. The sampling was performed in a heavily polluted region and the chemometric analysis revealed four latent factors, which describe 84.5 % of the total variance of the system, responsible for the data structure. These factors, whose identity was proved also by cluster analysis, were conditionally named “ore specific”, “metal industrial”, “cement ind

APA, Harvard, Vancouver, ISO, and other styles

8

Lippolis, Vincenzo, Elisabetta De Angelis, Giuseppina Maria Fiorino, et al. "Geographical Origin Discrimination of Monofloral Honeys by Direct Analysis in Real Time Ionization-High Resolution Mass Spectrometry (DART-HRMS)." Foods 9, no. 9 (2020): 1205. http://dx.doi.org/10.3390/foods9091205.

Full text

Abstract:

An untargeted method using direct analysis in real time and high resolution mass spectrometry (DART-HRMS) combined to multivariate statistical analysis was developed for the discrimination of two monofloral (chestnut and acacia) honeys for their geographical origins—i.e., Italy and Portugal for chestnut honey and Italy and China for acacia honey. Principal Component Analysis, used as an unsupervised approach, showed samples of clusterization for chestnut honey samples, while overlapping regions were observed for acacia honeys. Three supervised statistical approaches, such as Principal Componen

APA, Harvard, Vancouver, ISO, and other styles

9

Park, Jong-Rak, Hyun-Hee Kang, Jong-Ku Cho, Kwang-Deog Moon, and Young-Jun Kim. "Application of Non-Destructive Rapid Determination of Piperine in Piper nigrum L. (Black Pepper) Using NIR and Multivariate Statistical Analysis: A Promising Quality Control Tool." Foods 9, no. 10 (2020): 1437. http://dx.doi.org/10.3390/foods9101437.

Full text

Abstract:

Piperine is a bioactive alkaloid compound which provides a unique spicy flavor derived from plants of the Piper nigrum L. Black pepper (n = 160) collected from Vietnam was studied using non-destructive near infrared spectroscopy (NIRS). The spectral acquisition ranged from 1100 to 2500 nm, and a chemometrics analysis program was performed to quantify the piperine contents. High performance liquid chromatography (HPLC) analysis was carried out to develop a chemometric model based on reference values. The black pepper samples were divided into two groups used for calibration (n = 120) and predic

APA, Harvard, Vancouver, ISO, and other styles

10

Topala, Carmen Mihaela, and Lavinia Diana Tataru. "Rapid Method for the Discrimination of Romanian Wines Based on Mid-Infrared Spectroscopy and Chemometrics." Revista de Chimie 69, no. 2 (2018): 469–73. http://dx.doi.org/10.37358/rc.18.2.6129.

Full text

Abstract:

ATR-FTIR Spectroscopy combined with multivariate data analysis have been applied for the discrimination of 10 different Romanian wines (white and red wines), produced in 2 wineries from Romania: Reca� and Stefanesti-Arge�s from different cultivars. Principal Component Analysis were performed using different regions of FT-MIR spectra for all wines. Principal Component Analysis of their chemical parameters indicated that the wines can be discriminated based on their different phenolic, glucides, acidity content and geographical origin.

APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "Chemometrics. Principal components analysis. Multivariate analysis"

1

Davis, Christopher Brent Busch Kenneth W. Busch Marianna A. "Application of chemometric analysis to UV-visible and diffuse near-infrared reflectance spectra." Waco, Tex. : Baylor University, 2007. http://hdl.handle.net/2104/5042.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Vitale, Raffaele. "Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/90442.

Full text

Abstract:

The present Ph.D. thesis, primarily conceived to support and reinforce the relation between academic and industrial worlds, was developed in collaboration with Shell Global Solutions (Amsterdam, The Netherlands) in the endeavour of applying and possibly extending well-established latent variable-based approaches (i.e. Principal Component Analysis - PCA - Partial Least Squares regression - PLS - or Partial Least Squares Discriminant Analysis - PLSDA) for complex problem solving not only in the fields of manufacturing troubleshooting and optimisation, but also in the wider environment of multiva

APA, Harvard, Vancouver, ISO, and other styles

3

Nothnagel, Carien. "Multivariate data analysis using spectroscopic data of fluorocarbon alcohol mixtures / Nothnagel, C." Thesis, North-West University, 2012. http://hdl.handle.net/10394/7064.

Full text

Abstract:

Pelchem, a commercial subsidiary of Necsa (South African Nuclear Energy Corporation), produces a range of commercial fluorocarbon products while driving research and development initiatives to support the fluorine product portfolio. One such initiative is to develop improved analytical techniques to analyse product composition during development and to quality assure produce. Generally the C–F type products produced by Necsa are in a solution of anhydrous HF, and cannot be directly analyzed with traditional techniques without derivatisation. A technique such as vibrational spectroscopy, that c

APA, Harvard, Vancouver, ISO, and other styles

4

Waddell, Erin. "Chemometric Applications to a Complex Classification Problem: Forensic Fire Debris Analysis." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5883.

Full text

Abstract:

Fire debris analysis currently relies on visual pattern recognition of the total ion chromatograms, extracted ion profiles, and target compound chromatograms to identify the presence of an ignitable liquid according to the ASTM International E1618-10 standard method. For large data sets, this methodology can be time consuming and is a subjective method, the accuracy of which is dependent upon the skill and experience of the analyst. This research aimed to develop an automated classification method for large data sets and investigated the use of the total ion spectrum (TIS). The TIS is calcu

APA, Harvard, Vancouver, ISO, and other styles

5

Andersson, David. "Multivariate design of molecular docking experiments : An investigation of protein-ligand interactions." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-35736.

Full text

Abstract:

To be able to make informed descicions regarding the research of new drug molecules (ligands), it is crucial to have access to information regarding the chemical interaction between the drug and its biological target (protein). Computer-based methods have a given role in drug research today and, by using methods such as molecular docking, it is possible to investigate the way in which ligands and proteins interact. Despite the acceleration in computer power experienced in the last decades many problems persist in modelling these complicated interactions. The main objective of this thesis was t

APA, Harvard, Vancouver, ISO, and other styles

6

Pořízka, Pavel. "Using Laser-Induced Breakdown Spectroscopy (LIBS) for Material Analysis." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-234214.

Full text

Abstract:

Tato doktorská práce je zaměřena na vývoj algoritmu ke zpracování dat naměřených zařízením pro spektrometrii laserem indukovaného plazmatu (angl. LIBS). Zařízení LIBS s tímto algoritmem by mělo být následně schopno provést třídění vzorků a kvantitativní analýzu analytu in-situ a v reálném čase. Celá experimentální část této práce byla provedena ve Spolkovém institutu pro materiálový výzku a testování (něm. BAM) v Berlíně, SRN, kde byl sestaven elementární LIBS systém. Souběžně s experimentílní prací byl vytvořen přehled literárních zdrojů s cílem podat ucelený pohled na problematiku chemometri

APA, Harvard, Vancouver, ISO, and other styles

7

Murphy, Terrence Edward. "Multivariate Quality Control Using Loss-Scaled Principal Components." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-11222004-122326/unrestricted/murphy%5Fterrence%5Fe%5F200412%5Fphd.pdf.

Full text

Abstract:

Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2005.<br>Victoria Chen, Committee Co-Chair ; Kwok Tsui, Committee Chair ; Janet Allen, Committee Member ; David Goldsman, Committee Member ; Roshan Vengazhiyil, Committee Member. Vita. Includes bibliographical references.

APA, Harvard, Vancouver, ISO, and other styles

8

El, Haddad Josette. "Chimiométrie appliquée à la spectroscopie de plasma induit par laser (LIBS) et à la spectroscopie terahertz." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00959288.

Full text

Abstract:

L'objectif de cette thèse était d'appliquer des méthodes d'analyse multivariées au traitement des données provenant de la spectroscopie de plasma induit par laser (LIBS) et de la spectroscopie térahertz (THz) dans le but d'accroître les performances analytiques de ces techniques.Les spectres LIBS provenaient de campagnes de mesures directes sur différents sites géologiques. Une approche univariée n'a pas été envisageable à cause d'importants effets de matrices et c'est pour cela qu'on a analysé les données provenant des spectres LIBS par réseaux de neurones artificiels (ANN). Cela a permis de

APA, Harvard, Vancouver, ISO, and other styles

9

Gardner, Sugnet. "Extensions of biplot methodology to discriminant analysis with applications of non-parametric principal components." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52264.

Full text

Abstract:

Dissertation (PhD)--Stellenbosch University, 2001.<br>ENGLISH ABSTRACT: Gower and Hand offer a new perspective on the traditional biplot. This perspective provides a unified approach to principal component analysis (PCA) biplots based on Pythagorean distance; canonical variate analysis (CVA) biplots based on Mahalanobis distance; non-linear biplots based on Euclidean embeddable distances as well as generalised biplots for use with both continuous and categorical variables. The biplot methodology of Gower and Hand is extended and applied in statistical discrimination and classification.

APA, Harvard, Vancouver, ISO, and other styles

10

Wedlake, Ryan Stuart. "Robust principal component analysis biplots." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/929.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Chemometrics. Principal components analysis. Multivariate analysis"

1

Hyvarinen, Aapo. Independent component analysis. J. Wiley, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

Juha, Karhunen, and Oja Erkki, eds. Independent component analysis. J. Wiley, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Flury, Bernhard. Common principal components and related multivariate models. Wiley, 1988.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

Flury, Bernhard. Commonprincipal components and related multivariate models. Wiley, 1988.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

A user's guide to principal components. Wiley-Interscience, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Jackson, J. Edward. A user's guide to principal components. Wiley, 1991.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Ahmed, S. E. (Syed Ejaz), 1957- editor of compilation, ed. Perspectives on big data analysis: Methodologies and applications : International Workshop on Perspectives on High-Dimensional Data Anlaysis II, May 30-June 1, 2012, Centre de Recherches Mathématiques, University de Montréal, Montréal, Québec, Canada. American Mathematical Society, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Oja, Erkki, Aapo Hyvärinen, and Juha Karhunen. Independent Component Analysis. Wiley-Interscience, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

Kroonenberg, Pieter M. Applied Multiway Data Analysis. Wiley & Sons, Incorporated, John, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

Applied Multiway Data Analysis. Wiley-Interscience, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Chemometrics. Principal components analysis. Multivariate analysis"

1

Murtagh, Fionn, and André Heck. "Principal Components Analysis." In Multivariate Data Analysis. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3789-5_2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Härdle, Wolfgang Karl, and Léopold Simar. "Principal Components Analysis." In Applied Multivariate Statistical Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26006-4_11.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Härdle, Wolfgang Karl, and Léopold Simar. "Principal Components Analysis." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45171-7_11.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Everitt, Brian S., and Graham Dunn. "Principal Components Analysis." In Applied Multivariate Data Analysis. John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9781118887486.ch3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Afifi, A. A., and V. Clark. "Principal components analysis." In Computer-Aided Multivariate Analysis. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-3342-3_14.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Härdle, Wolfgang Karl, and Léopold Simar. "Principal Components Analysis." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-17229-8_10.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Härdle, Wolfgang, and Léopold Simar. "Principal Components Analysis." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05802-2_9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Vehkalahti, Kimmo, and Brian S. Everitt. "Principal Components Analysis." In Multivariate Analysis for the Behavioral Sciences. CRC Press, 2018. http://dx.doi.org/10.1201/9781351202275-13.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Jöreskog, Karl G., Ulf H. Olsson, and Fan Y. Wallentin. "Principal Components (PCA)." In Multivariate Analysis with LISREL. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33153-9_5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Everitt, Brian, and Torsten Hothorn. "Principal Components Analysis." In An Introduction to Applied Multivariate Analysis with R. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9650-3_3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Chemometrics. Principal components analysis. Multivariate analysis"

1

Ye, Shengqiang, and Ke Zhang. "A improved common principal components based dimension reduction method for multivariate time series analysis." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164715.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Clément, Simon, Sergio Bellizzi, Bruno Cochelin, and Guillaume Ricciardi. "Sliding Window POD Analysis of Vibrating Structures: Application to Nonlinear Forced Structure Under Axial Flow." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12803.

Full text

Abstract:

In this paper, a multivariate data analysis method combining the Proper Orthogonal Decomposition (POD) and a time-frequency analysis (TEA) is presented. The POD method is a tool adapted to the study of multi-degrees of freedom systems, which can give some insight of the behavior of complex nonlinear systems, whereas TEA is suitable for scalar signal with multi-frequency components. The method presented here is of principal interest in the case of swept-sine excitation of complex multi-DOF systems. It will be first applied to a synthetic signal, then mechanical simulations and finally experimen

APA, Harvard, Vancouver, ISO, and other styles

3

Mane, Amit M., Chadd W. Clary, Amber N. Reeve, Lorin P. Maletsky, and David FitzPatrick. "Identifying the Effects of Knee Anatomy Variation on the Envelope of Knee Motion (Varus-Valgus) Using Principal Components." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206288.

Full text

Abstract:

The motion patterns of the human knee joint depend on its passive motion characteristics, which are described by the ligamentious and articular constraints. Since active motions, like walking and squatting are believed to fall within a passive envelope, the basis for the understanding of the knee joint kinematics lies in the description of its passive constraint characteristics [1]. Although several authors studied passive envelope characteristics of a knee, it is not clear from the literature which anatomical structures guide the knee in passive or active motion and how their geometric arrang

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!