Academic literature on the topic 'Multivariate analysis technique'

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Journal articles on the topic "Multivariate analysis technique"

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Imai, Kosuke. "Multivariate Regression Analysis for the Item Count Technique." Journal of the American Statistical Association 106, no. 494 (2011): 407–16. http://dx.doi.org/10.1198/jasa.2011.ap10415.

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Silén, J., H. Cottin, M. Hilchenbach, et al. "COSIMA data analysis using multivariate techniques." Geoscientific Instrumentation, Methods and Data Systems Discussions 4, no. 2 (2014): 455–89. http://dx.doi.org/10.5194/gid-4-455-2014.

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Abstract. We describe how to use multivariate analysis of complex TOF-SIMS spectra introducing the method of random projections. The technique allows us to do full clustering and classification of the measured mass spectra. In this paper we use the tool for classification purposes. The presentation describes calibration experiments of 19 minerals on Ag and Au substrates using positive mode ion spectra. The discrimination between individual minerals gives a crossvalidation Cohen κ for classification of typically about 80%. We intend to use the method as a fast tool to deduce a qualitative simil
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Silén, J., H. Cottin, M. Hilchenbach, et al. "COSIMA data analysis using multivariate techniques." Geoscientific Instrumentation, Methods and Data Systems 4, no. 1 (2015): 45–56. http://dx.doi.org/10.5194/gi-4-45-2015.

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Abstract. We describe how to use multivariate analysis of complex TOF-SIMS (time-of-flight secondary ion mass spectrometry) spectra by introducing the method of random projections. The technique allows us to do full clustering and classification of the measured mass spectra. In this paper we use the tool for classification purposes. The presentation describes calibration experiments of 19 minerals on Ag and Au substrates using positive mode ion spectra. The discrimination between individual minerals gives a cross-validation Cohen κ for classification of typically about 80%. We intend to use th
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Aaid, Djamel, and Özen Özer. "New technique for solving multivariate global optimization." Journal of Numerical Analysis and Approximation Theory 52, no. 1 (2023): 3–16. http://dx.doi.org/10.33993/jnaat521-1287.

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In this paper, we propose an algorithm based on branch and bound method to underestimate the objective function and reductive transformation which is transformed the all multivariable functions on univariable functions. We also demonstrate several quadratic lower bound functions are proposed which they are better/preferable than the others well-known in literature. We obtain that our experimental results are more effective when we face different nonconvex functions.
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Librando, V., G. Magazzù, and A. Puglisi. "Multivariate micropollutants analysis in marine waters." Water Science and Technology 32, no. 9-10 (1995): 341–48. http://dx.doi.org/10.2166/wst.1995.0701.

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The monitoring of water quality today provides a great quantity of data consisting of the values of the parameters measured as a function of time. In the marine environment, and especially in the suspended material, increasing importance is being given to the presence of organic micropollutants, particularly since some are known to be carcinogenic. As the number of measured parameters increases examining the data and their consequent interpretation becomes more difficult. To overcome such difficulties, numerous chemometric techniques have been introduced in environmental chemistry, such as Mul
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Artyushkova, K., S. Pylypenko, J. Fenton, K. Archuleta, L. Williams, and J. Fulghum. "Multi-technique, Multivariate Analysis Methods for Enhanced Sample Characterization." Microscopy and Microanalysis 12, S02 (2006): 1402–3. http://dx.doi.org/10.1017/s1431927606069492.

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Maeder, Marcel, and Arne Zilian. "Evolving factor analysis, a new multivariate technique in chromatography." Chemometrics and Intelligent Laboratory Systems 3, no. 3 (1988): 205–13. http://dx.doi.org/10.1016/0169-7439(88)80051-0.

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LIPOVETSKY, STAN. "DUAL PLS ANALYSIS." International Journal of Information Technology & Decision Making 11, no. 05 (2012): 879–91. http://dx.doi.org/10.1142/s0219622012500241.

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A new multivariate statistical technique is obtained for comparing and combining two or more data sets each of which has a different number of respondents but the same variables. This approach can be considered as dual to such techniques as partial least squares, also known as inter-battery factor analysis and robust canonical correlation analysis for two data sets. It is shown that the problem can be reduced to the eigenproblem of the product of correlation matrices of each data set. The technique is generalized to three or more data sets in an eigenproblem of block-matrices of the correlatio
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Barbosa, Josino José, Anderson Ribeiro Duarte, and Helgem Souza Ribeiro Martins. "A performance evaluation in multivariate outliers identification methods." Ciência e Natura 42 (May 15, 2020): e16. http://dx.doi.org/10.5902/2179460x41662.

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Methodologies for identifying multivariate outliers are extremely important in statistical analysis. Outliers may reveal relevant information to variables under investigation. Statistical applications without prior identification of possible extreme values may yield controversial results and induce mistaken decision making. In many contexts, outliers are points of great practical interest. Given this, this paper seeks to discuss methodologies for the detection of multivariate outliers through a fair and adequate comparative technique in their simulation procedure. The comparison considers dete
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ter Braak, Cajo J. F. "Canonical Correspondence Analysis: A New Eigenvector Technique for Multivariate Direct Gradient Analysis." Ecology 67, no. 5 (1986): 1167–79. http://dx.doi.org/10.2307/1938672.

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Dissertations / Theses on the topic "Multivariate analysis technique"

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Hatem, Iyad. "Hybrid multivariate classification technique and its application in tissue image analysis /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3091929.

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Heeb, Thomas Gregory. "Examination of turbulent mixing with multiple second order chemical reactions by the statistical analysis technique /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487267024995615.

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ACHARYA, SRIKANTH B. "A MULTIVARIATE STATISTICAL ANALYSIS ON THE SAMPLING UNCERTAINTIES OF GEOMETRIC AND DIMENSIONAL ERRORS FOR CIRCULAR FEATURES." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1113427839.

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Szatvanyi, Gérard. "Improving quality and combustion control in pyrometallurgical processes using multivariate image analysis of flames." Master's thesis, Université Laval, 2006. http://hdl.handle.net/20.500.11794/18697.

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La combustion est utilisé dans l’industrie chimique et du traitement des minéraux dans le but de produire de la vapeur dans les chaudières, de sécher les concentrés dans les fours rotatifs, et d’appliquer des traitements thermiques dans les fours pyrométallurgiques. Le contrôle serré de la combustion dans ces fours est très important parce que les conditions de combustion affectent directement la qualité du produit fini. Arriver à un contrôle serré de la combustion n’est pas facile à cause du fait que les flammes qu’on retrouve dans ces industries sont obtenues avec des combustibles non pré-mé
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Wang, Kaibo. "Adaptive charting techniques for multivariate and dynamic processes /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?IEEM%202006%20WANG.

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Cavaglia, Pietro Julieta. "Monitoring wine fermentation using ATR-MIR spectroscopy and chemometric techniques." Doctoral thesis, Universitat Rovira i Virgili, 2021. http://hdl.handle.net/10803/672472.

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El vi és un dels productes amb valor afegit més apreciats al món i és per això que el control de la producció vinícola ha sigut sempre un tema prioritari per a la majoria dels cellers. La implementació d’anàlisis at-line com són les Tècniques Analítiques de Processos (PAT), no només permet un control del vi acabat si no que també dóna la possibilitat de prendre mesures correctives al llarg del procés evitant així obtenir un producte final defectuós. En aquesta tesi doctoral, es va investigar la possibilitat d’implementar diferents estratègies per controlar i detectar desviacions durant la
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Knowles, S. J. "Quantitative analysis of agrochemicals by multivariate spectroscopic techniques." Thesis, University of Reading, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394518.

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Jusufi, Ilir. "Multivariate Networks : Visualization and Interaction Techniques." Doctoral thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-25497.

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As more and more data is created each day, researchers from different science domains are trying to make sense of it. A lot of this data, for example our connections to friends on different social networking websites, can be modeled as graphs, where the nodes are actors and the edges are relationships between them. Researchers analyze this data to find new forms of communication, to explore different social groups or subgroups, to detect illegal activities or to seek for different communication patterns that could help companies in their marketing campaigns. Another example are huge networks i
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Maclaurin, Paul. "Flow injection and multivariate calibration techniques for process analysis." Thesis, University of Plymouth, 1993. http://hdl.handle.net/10026.1/2056.

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The role of process analytical chemistry is summarised in chapter one with particular emphasis on a multidisciplinary approach and the instrumental requirements for on-plant analysis. These concepts are extended to process FIA, highlighting its potential for simultaneous multicomponent determinations. The development of an automated FIA monitor for the on-line determination of sulphite in potassium chloride brine is covered in the second chapter. Reaction stability is demonstrated and the results of on-plant validation and on-line trials are presented. The next chapter deals with the concepts
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Korpela, Kathryn Schuler 1960. "A COMPARISON OF TWO MULTIVARIATE CUMULATIVE SUM CONTROL CHART TECHNIQUES." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/275513.

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Books on the topic "Multivariate analysis technique"

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Wesselman, A. M. The population-sample decomposition method: A distribution-free estimation technique for minimum distance parameters. M. Nijhoff, 1987.

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Fu, Tsu-Tan. An analysis of the potential acceptance of market alternatives by U.S. peanut producers using a multivariate probit system of equations technique. Institute of Economics, Academia Sinica, 1988.

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Hasse Workshop (4th 2001 Iffeldorf, Germany). Order theoretical tools in environmental sciences: Order theory (Hasse diagram technique) meets multivariate statistics, proceedings of the fourth workshop November 05-06 2001 in Iffeldorf, Bavaria, Germany. Shaker Verlag, 2002.

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Tatsuoka, Maurice M. Multivariate analysis: Techniques for educational and psychological research. 2nd ed. Macmillan, 1988.

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Sharma, Subhash. Applied multivariate techniques. J. Wiley, 1996.

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Sundararajan, Srikrishnan. Multivariate Analysis and Machine Learning Techniques. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-99-0353-5.

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Collet, Christophe. Multivariate image processing. ISTE, 2009.

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Collet, Christophe. Multivariate image processing. ISTE, 2009.

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Hans, Grahn, and Geladi Paul, eds. Techniques and applications of hyperspectral image analysis. J. Wiley, 2007.

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Izenman, Alan Julian. Modern multivariate statistical techniques: Regression, classification, and manifold learning. Springer, 2008.

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Book chapters on the topic "Multivariate analysis technique"

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Mucha, Hans-Joachim. "An Intelligent Clustering Technique Based on Dual Scaling." In Measurement and Multivariate Analysis. Springer Japan, 2002. http://dx.doi.org/10.1007/978-4-431-65955-6_4.

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Wilson, Mark, and Karen Draney. "A Technique for Setting Standards and Maintaining Them over Time." In Measurement and Multivariate Analysis. Springer Japan, 2002. http://dx.doi.org/10.1007/978-4-431-65955-6_35.

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Chouakria-Douzal, Ahlame. "Compression Technique Preserving Correlations of a Multivariate Temporal Sequence." In Advances in Intelligent Data Analysis V. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45231-7_52.

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Marletta, Andrea. "Sizing & Allocation in Labour Market: business strategies and multivariate analysis." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.23.

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In Labour Market, the issue of Sizing and Allocation is a discussed problem. In this study, this topic has been considered from a statistical point of view. Indeed, the choice to change the number of your team of employees in a business context needs a very accurate analysis. If for example a firm decides to launch a new product on the market, it could be necessary to recruit new resources. The proposed statistical approach aims to give some hints about the total number of employees analysing the features of the existing market and the territorial geography. From a statistical point of two tec
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Tan, Zhiyuan, Aruna Jamdagni, Xiangjian He, Priyadarsi Nanda, and Ren Ping Liu. "Multivariate Correlation Analysis Technique Based on Euclidean Distance Map for Network Traffic Characterization." In Information and Communications Security. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25243-3_31.

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Olive, David J. "Other Techniques." In Robust Multivariate Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68253-2_14.

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Kinton, Vanessa. "Multivariate Techniques." In Practical Analysis of Flavor and Fragrance Materials. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781444343137.ch5.

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Dugard, Pat, John Todman, and Harry Staines. "Multivariate techniques in context." In Approaching Multivariate Analysis, 2nd ed. Routledge, 2022. http://dx.doi.org/10.4324/9781003343097-1.

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Härdle, Wolfgang Karl, and Léopold Simar. "Computationally Intensive Techniques." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45171-7_20.

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Härdle, Wolfgang Karl, and Léopold Simar. "Computationally Intensive Techniques." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-17229-8_19.

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Conference papers on the topic "Multivariate analysis technique"

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Al-Jasoor, Hanan G., and Samaher Al-Janabi. "Expression of Concern for: Oil Price Prediction Using Deep Neural Network Technique Gated Recurrent Unit (GRU) and Multivariate Analysis." In 2022 22nd International Conference on Computational Science and Its Applications (ICCSA). IEEE, 2022. http://dx.doi.org/10.1109/iccsa57511.2022.10703608.

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Reid, S. A., G. P. Quirk, and M. Hadfield. "Computer Aided Corrosion Surveillance Using Electrochemical Noise Techniques." In CORROSION 1999. NACE International, 1999. https://doi.org/10.5006/c1999-99250.

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Abstract Real-time mechanistic analysis of electrochemical noise data is essential for rapid identification of localized corrosion by plant operators. Recent developments towards this goal include: Intelligent Noise Data Reduction techniques to eliminate uninformative data; neural nets which learn how to categorize corrosion mechanisms from data patterns; multivariate analysis which allows the identification of combinations of plant process parameters that cause damage. These techniques can be combined to facilitate pro-active management of the corrosion problem, including consideration of cor
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W, Anto Win Shalini, and Rajalakshmi T. "Advancing thyroid assessment: non-invasive technique and multivariate analysis." In Women in Optics and Photonics in India 2023, edited by Shanti Bhattacharya, Sujatha Narayanan Unni, Anita Mahadevan-Jansen, and Asima Pradhan. SPIE, 2024. http://dx.doi.org/10.1117/12.3028948.

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T, Anitha, Bose S, Logeswari G, Maheswaran N, Vijayalakshmi S, and Prabhu D. "Network Anomaly Based Detection Using Multivariate Correlation Analysis Technique." In 2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS). IEEE, 2023. http://dx.doi.org/10.1109/iccebs58601.2023.10449206.

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Youree, Roger K., Jeffrey S. Yalowitz, Aaron Corder, and Teng K. Ooi. "A multivariate statistical analysis technique for on-line fault prediction." In 2008 International Conference on Prognostics and Health Management (PHM). IEEE, 2008. http://dx.doi.org/10.1109/phm.2008.4711447.

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Okumura, Hiroshi, Tadashi Sugita, Hironori Matsumoto, and Nobuo Takeuchi. "NORMALS — A Noise Reduction Method Using Multivariate Analysis Technique for Lidar Echo Signal." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.tud.19.

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Portable lidar system is a powerful tool for monitoring air pollution, stratospheric and boundary layer, plume dispersion, visibility, and studying atmospheric structure and cloud physics. However, the signal-to-noise (S / N) ratio of each echo datum which is acquired with such portable lidar systems is not so high because of its low lasing power in comparison with large scale lidar systems.
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Carli, T. "Looking for instanton-induced processes at HERA using a multivariate technique based on range searching." In ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH: VII International Workshop; ACAT 2000. AIP, 2001. http://dx.doi.org/10.1063/1.1405277.

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Clarke, Stella M., Jan H. Griebsch, and Timothy W. Simpson. "Analysis of Support Vector Regression for Approximation of Complex Engineering Analyses." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48759.

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A variety of metamodeling techniques have been developed in the past decade to reduce the computational expense of computer-based analysis and simulation codes. Metamodeling is the process of building a “model of a model” that provides a fast surrogate for a computationally expensive computer code. Common metamodeling techniques include response surface methodology, kriging, radial basis functions, and multivariate adaptive regression splines. In this paper, we present Support Vector Regression (SVR) as an alternative technique for approximating complex engineering analyses. The computationall
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Cui, Jingbin, Zhensheng Zhang, Zhongping Zhang, and Jian Zhao. "Using multivariate seismic attributions analysis technique to interpret minor faults in coal seismic survey." In SEG Technical Program Expanded Abstracts 2009. Society of Exploration Geophysicists, 2009. http://dx.doi.org/10.1190/1.3255036.

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Al-Jasoor, Hanan G., and Samaher Al-Janabi. "Oil Price Prediction Using Deep Neural Network Technique Gated Recurrent Unit (GRU) and Multivariate Analysis." In 2022 22nd International Conference on Computational Science and Its Applications (ICCSA). IEEE, 2022. http://dx.doi.org/10.1109/iccsa57511.2022.00014.

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Reports on the topic "Multivariate analysis technique"

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Grunsky, E. Spatial factor analysis: a technique to assess the spatial relationships of multivariate data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128074.

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Reichardt, Thomas A., Jerilyn Ann Timlin, Howland D. T. Jones, Shane M. Sickafoose, and Randal L. Schmitt. Fluorescence measurements for evaluating the application of multivariate analysis techniques to optically thick environments. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1008131.

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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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Analyses Multivariées avec SPSS. Instats Inc., 2024. https://doi.org/10.61700/if092yfndo4mv1898.

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Cet atelier intensif de deux jours offre une formation approfondie sur les techniques d'analyse multivariée avec SPSS, largement utilisée dans les domaines académiques et professionnels. Destiné aux doctorants, professeurs et chercheurs, il couvre des méthodes telles que l'analyse en composantes principales, l'analyse factorielle, l'analyse de cluster, l'analyse discriminante et plus encore, pour améliorer la précision et la rigueur des recherches. Un certificat officiel de fin de stage est délivré à la fin de l'atelier, offrant 0.5 point équivalent ECTS pour les étudiants européens.
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