Relevant bibliographies by topics / Applied Multivariate Analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Applied Multivariate Analysis'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Applied Multivariate Analysis"

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Booth, David E. "Applied Multivariate Analysis." Technometrics 45, no. 2 (2003): 174. http://dx.doi.org/10.1198/tech.2003.s135.

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Gray, Alison. "Applied Multivariate Analysis,." Journal of the Royal Statistical Society: Series D (The Statistician) 52, no. 4 (2003): 696. http://dx.doi.org/10.1046/j.1467-9884.2003.t01-8-00383_10.x.

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Haigh, John, R. A. Johnson, and D. W. Wichern. "Applied Multivariate Statistical Analysis." Mathematical Gazette 72, no. 462 (1988): 331. http://dx.doi.org/10.2307/3619964.

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Naik, Dayanand N., Brian S. Everitt, and Graham Dunn. "Applied Multivariate Data Analysis." Technometrics 36, no. 2 (1994): 214. http://dx.doi.org/10.2307/1270233.

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Ziegel, Eric R., Richard A. Johnson, and Dean W. Wichern. "Applied Multivariate Statistical Analysis." Technometrics 41, no. 1 (1999): 81. http://dx.doi.org/10.2307/1271011.

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Coates, Dave, Brian S. Everitt, and Graham Dunn. "Applied Multivariate Data Analysis." Journal of the Operational Research Society 45, no. 2 (1994): 237. http://dx.doi.org/10.2307/2584130.

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Hamer, Robert M., Brian S. Everitt, and Graham Dunn. "Applied Multivariate Date Analysis." Journal of the American Statistical Association 88, no. 423 (1993): 1173. http://dx.doi.org/10.2307/2290826.

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Johnson, A. R., and D. W. Wichern. "Applied Multivariate Statistical Analysis." Biometrics 44, no. 3 (1988): 920. http://dx.doi.org/10.2307/2531616.

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Johnson, R. A., and D. W. Wichern. "Applied Multivariate Statistical Analysis." Biometrics 54, no. 3 (1998): 1203. http://dx.doi.org/10.2307/2533879.

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Williams, Calvin. "Applied Multivariate Data Analysis." American Statistician 56, no. 3 (2002): 248–49. http://dx.doi.org/10.1198/tas.2002.s4.

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Dissertations / Theses on the topic "Applied Multivariate Analysis"

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Tavares, Nuno Filipe Ramalho da Cunha. "Multivariate analysis applied to clinical analysis data." Master's thesis, Faculdade de Ciências e Tecnologia, 2014. http://hdl.handle.net/10362/12288.

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Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial<br>Folate, vitamin B12, iron and hemoglobin are essential for metabolic functions in the body. The deficiency of these can be the cause of several known pathologies and, untreated, can be responsible for severe morbidity and even death. The objective of this study is to characterize a population, residing in the metropolitan area of Lisbon and Setubal, concerning serum levels of folate, vitamin B12, iron and hemoglobin, as well as finding evidence of correlations between these parameters and illnesses, mainly cardiov
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Zappi, Alessandro <1990&gt. "Chemometrics applied to direct multivariate analysis." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/8898/1/Zappi_Alessandro_Thesis.pdf.

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The present Ph.D. Thesis is focused on applications and developments of chemometrics. After a short introduction about chemometrics (Chapter 1), the present work is divided in three Chapters, reflecting the research activities addressed during the three-year PhD work: • Chapter 2 concerns the application of classification tools to food traceability (Chapter 2.1), plant metabolomics (Chapter 2.2), and food-frauds detection (Chapter 2.3) problems. • Chapter 3 concerns the application of design of experiments for a bio-remediation research (Chapter 3.1) and for machine optimization (Chapter 3.
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Campbell, Allen Webb. "Applied statisical analysis software system." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-08182009-040351/.

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Van, der Bijl Rinske. "Multivariate refinable functions with emphasis on box splines." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/2743.

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Thesis (MComm (Mathematics))--Stellenbosch University, 2008.<br>The general purpose of this thesis is the analysis of multivariate refinement equations, with focus on the bivariate case. Since box splines are the main prototype of such equations (just like the cardinal B-splines in the univariate case), we make them our primary subject of discussion throughout. The first two chapters are indeed about the origin and definition of box splines, and try to elaborate on them in sufficient detail so as to build on them in all subsequent chapters, while providing many examples and graphical illu
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TARIS, ALESSANDRA. "Multivariate techniques applied on spectroscopic data for process analysis and monitoring." Doctoral thesis, Università degli Studi di Cagliari, 2017. http://hdl.handle.net/11584/249570.

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L’analisi e il monitoraggio di processo sono diventati di fondamentale importanza per garantire le prestazioni del processo e mantenere la qualità del prodotto. A tal scopo, la spettroscopia rappresenta uno strumento innovativo che permette di superare le problematiche che si incontrano con le tecniche analitiche convenzionali (per esempio, la gas cromatografia), poichè è veloce e non distruttiva e può fornire informazioni sullo stato chimico del processo in tempo reale. Tuttavia, a causa della grande quantità di informazioni presenti nelle misure raccolte, l’interpretazione e l’estrazione di
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Hu, Cecilia X. Matthew C. Knitt. "A comparative analysis of multivariate statistical detection methods applied to syndromic surveillance." Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FHu.pdf.

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Thesis (M.S. in Applied Science (Operations Research) )--Naval Postgraduate School, June 2007.<br>Thesis Advisor(s): Ronald D. Fricker. "June 2007." Includes bibliographical references (p. 71-72). Also available in print.
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Knitt, Matthew C. "A comparative analysis of multivariate statistical detection methods applied to syndromic surveillance." Thesis, Monterey, California. Naval Postgraduate School, 2007. http://hdl.handle.net/10945/3417.

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Biological terrorism is a threat to the security and well-being of the United States. It is critical to detect the presence of these attacks in a timely manner, in order to provide sufficient and effective responses to minimize or contain the damage inflicted. Syndromic surveillance is the process of monitoring public health-related data and applying statistical tests to determine the potential presence of a disease outbreak in the observed system. Our research involved a comparative analysis of two multivariate statistical methods, the multivariate CUSUM (MCUSUM) and the multivariate exponent
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Robson, Geoffrey. "Multiple outlier detection and cluster analysis of multivariate normal data." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53508.

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Thesis (MscEng)--Stellenbosch University, 2003.<br>ENGLISH ABSTRACT: Outliers may be defined as observations that are sufficiently aberrant to arouse the suspicion of the analyst as to their origin. They could be the result of human error, in which case they should be corrected, but they may also be an interesting exception, and this would deserve further investigation. Identification of outliers typically consists of an informal inspection of a plot of the data, but this is unreliable for dimensions greater than two. A formal procedure for detecting outliers allows for consistency when
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Van, Deventer Petrus Jacobus Uys. "The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research." Master's thesis, University of Cape Town, 1985. http://hdl.handle.net/11427/4941.

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Includes bibliography.<br>The purpose of the procedures described is to assign “objects” or "observations" in some optimum fashion to one of two or more populations. In routine banking a bank manager may wish to classify clients who wish to make loans as low or high credit risks on the basis of the elements of certain accounting statements. In such a case there are two definite distinct classes. Another investigation may be initiated to determine whether buying habits are different with respect to the categories: urban, sub-urban and rural clients. Note that in the first example the classes ar
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Pasamontes, Fúnez Alberto. "Multivariate curve resolution applied to sequential injection data. Analysis of amoxicillin anda clavulanic acid." Doctoral thesis, Universitat Rovira i Virgili, 2006. http://hdl.handle.net/10803/9005.

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El objetivo de esta tesis ha sido estudiar y desarrollar metodologias analíticas<br/>usando un sistema de inyección secuencial (SIA) con un espectrofotómetro de diodos en<br/>fila para obtener datos de segundo orden. Para tratar estos datos, las herramientas<br/>quimiométricas usadas han sido; resolución de curvas multivariante mediante mínimos<br/>cuadrados alternados (MCR-ALS) y otras técnicas relacionadas a ésta como el análisis<br/>de componentes principales (PCA) y SIMPLISMA. Además se han aplicado estrategias<br/>de diseño de experimentos para obtener las condiciones experimentales óptim
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Books on the topic "Applied Multivariate Analysis"

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Johnson, Richard Arnold. Applied multivariate statistical analysis. 2nd ed. Prentice-Hall, 1988.

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1949-, Dunn G., ed. Applied multivariate data analysis. Oxford University Press, 1992.

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1949-, Dunn G., ed. Applied multivariate data analysis. 2nd ed. Arnold, 2001.

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1949-, Dunn G., and Everitt Brian, eds. Applied multivariate data analysis. E. Arnold, 1991.

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Bernstein, Ira H. Applied multivariate analysis. Springer-Verlag, 1988.

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Bernstein, Ira H. Applied multivariate analysis. Springer-Verlag, 1987.

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W, Wichern Dean, ed. Applied multivariate statistical analysis. 3rd ed. Prentice Hall, 1992.

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W, Wichern Dean, ed. Applied multivariate statistical analysis. 4th ed. Prentice Hall, 1998.

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W, Wichern Dean, ed. Applied multivariate statistical analysis. 5th ed. Prentice Hall, 2002.

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Chansarkar, B. A. Applied multivariate analysis. Himalaya Publishing House, 1987.

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Book chapters on the topic "Applied Multivariate Analysis"

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Everitt, Brian S., and Graham Dunn. "Multivariate Data and Multivariate Statistics." In Applied Multivariate Data Analysis. John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9781118887486.ch1.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Multivariate Analysis." In Statistics Applied to Clinical Studies. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2863-9_25.

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Bernstein, Ira H., Calvin P. Garbin, and Gary K. Teng. "Analysis of Scales." In Applied Multivariate Analysis. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8740-4_12.

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Bernstein, Ira H., Calvin P. Garbin, and Gary K. Teng. "Exploratory Factor Analysis." In Applied Multivariate Analysis. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8740-4_6.

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Bernstein, Ira H., Calvin P. Garbin, and Gary K. Teng. "Confirmatory Factor Analysis." In Applied Multivariate Analysis. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8740-4_7.

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Venables, W. N., and B. D. Ripley. "Multivariate Analysis." In Modern Applied Statistics with S-Plus. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4899-2819-1_12.

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Härdle, Wolfgang, and Léopold Simar. "Multivariate Distributions." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05802-2_4.

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Härdle, Wolfgang Karl, and Léopold Simar. "Multivariate Distributions." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45171-7_4.

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Härdle, Wolfgang Karl, and Léopold Simar. "Multivariate Distributions." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-17229-8_4.

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Härdle, Wolfgang Karl, and Léopold Simar. "Multivariate Distributions." In Applied Multivariate Statistical Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26006-4_4.

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Conference papers on the topic "Applied Multivariate Analysis"

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El Bahnasawi, Mohamed, Martin Gebser, Witesyavwirwa Vianney Kambale, Mohamed Salem, Jean Chamberlain Chedjou, and Kyandoghere Kyamakya. "Combining Autoencoder and Cellular Neural Networks for Enhanced Direct Multi-Step Forecasting of Short and Long-Term Multivariate Time Series in Battery Health Monitoring: A Preliminary Feasibility Analysis." In 2024 International Conference on Applied Mathematics & Computer Science (ICAMCS). IEEE, 2024. https://doi.org/10.1109/icamcs62774.2024.00031.

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Filus, Jerzy K., and Lidia Z. Filus. "Multivariate “pseudodistributions” pattern - applications." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756154.

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Filus, Jerzy K., and Lidia Z. Filus. "Multivariate "pseudodistributions" as natural extensions of the multivariate normal density pattern - theory." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756153.

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Miyagawa, Naoki, Hiroshi Teramoto, Chun-Biu Li, et al. "Spatial Heterogeneity of Multivariate Dependence." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637776.

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Carnicer, J. M., M. Gasca, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Some Recent Advances in Multivariate Polynomial Interpolation." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790271.

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Mexia, João T., Célia Nunes, Manuela M. Oliveira, et al. "Multivariate Application Domains for the Delta Method." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637906.

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Lopes, Paulo, Alei Domingues, and Bianca Nakandakari. "APPLIED MULTIVARIATE ANALYSIS FOR SINTER FEO PREDICTION." In 9° Simpósio Brasileiro de Aglomeração de Minérios. Editora Blucher, 2023. http://dx.doi.org/10.5151/2594-357x-39579.

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Massof, Robert W., Bruce A. Drum, and Gary S. Rubin. "ROC Analysis Applied to Multivariate Diagnostic Tests." In Noninvasive Assessment of the Visual System. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/navs.1988.wb4.

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The area of the relative operating characteristic (ROC) curve provides a nonparametric index of diagnostic test performance.1 The area of the ROC curve is criterion-free and corresponds to the discriminability of patient test scores from normal test scores. That is, the area of the ROC curve is equivalent to the probability of correctly identifying patient test results in a two-alternative forced-choice decision task. Because of this equivalence, ROC analysis provides for the comparison of subjective clinical judgments with quantitative test results, using the same statistic.1-2
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Di Nardo, E., I. Oliva, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "On a Symbolic Version of Multivariate Lévy Processes." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636735.

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Akal, Cevdet, and Alexey Lukashov. "Mean value multipoint multivariate Padé approximations." In INTERNATIONAL CONFERENCE ON ANALYSIS AND APPLIED MATHEMATICS (ICAAM 2014). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4893827.

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Reports on the topic "Applied Multivariate Analysis"

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Long, C. Multivariate calibration techniques applied to NIRA (near infrared reflectance analysis) and FTIR (Fourier transform infrared) data. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6105624.

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