Academic literature on the topic 'Multivariate analysis'

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Journal articles on the topic "Multivariate analysis"

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Fischer, Hagen S. "Multivariate analysis of phenological data." Phytocoenologia 30, no. 3-4 (2000): 477–89. http://dx.doi.org/10.1127/phyto/30/2000/477.

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Editorial Submission, Haworth. "Multivariate Analysis." Journal of Housing For the Elderly 4, no. 2 (1988): 121–68. http://dx.doi.org/10.1300/j081v04n02_05.

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Cooper, R. I., and Maurice Kendall. "Multivariate Analysis." Journal of the Royal Statistical Society. Series A (Statistics in Society) 151, no. 2 (1988): 373. http://dx.doi.org/10.2307/2982780.

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AHLGREN, A. "Multivariate Analysis." Science 234, no. 4776 (1986): 530–31. http://dx.doi.org/10.1126/science.234.4776.530.

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Wallbäcks, Lars. "Multivariate data analysis of multivariate populations." Chemometrics and Intelligent Laboratory Systems 86, no. 1 (2007): 10–16. http://dx.doi.org/10.1016/j.chemolab.2006.08.002.

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Chakrapani, Chuck. "Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences." Journal of the Royal Statistical Society: Series A (Statistics in Society) 175, no. 3 (2012): 825–26. http://dx.doi.org/10.1111/j.1467-985x.2012.01045_8.x.

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Varis, Olli, Hannu Sirviö, and Juhani Kettunen. "Multivariate analysis of lake phytoplankton and environmental factors." Archiv für Hydrobiologie 117, no. 2 (1989): 163–75. http://dx.doi.org/10.1127/archiv-hydrobiol/117/1989/163.

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Green, R. H. "Understanding Multivariate Analysis." Ecology 67, no. 2 (1986): 585. http://dx.doi.org/10.2307/1938605.

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Ziegel, Eric, and P. R. Krishnaiah. "Multivariate Analysis VI." Technometrics 28, no. 4 (1986): 404. http://dx.doi.org/10.2307/1268998.

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Goodall, Colin, and Albert Gifi. "Nonlinear Multivariate Analysis." Technometrics 34, no. 3 (1992): 357. http://dx.doi.org/10.2307/1270046.

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Dissertations / Theses on the topic "Multivariate analysis"

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Wolting, Duane. "MULTIVARIATE SYSTEMS ANALYSIS." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615760.

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International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada<br>In many engineering applications, a systems analysis is performed to study the effects of random error propagation throughout a system. Often these errors are not independent, and have joint behavior characterized by arbitrary covariance structure. The multivariate nature of such problems is compounded in complex systems, where overall system performance is described by a q-dimensional random vector. To address this problem, a computer program was developed which generates Taylor serie
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Nisa, Khoirin. "On multivariate dispersion analysis." Thesis, Besançon, 2016. http://www.theses.fr/2016BESA2025.

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Cette thèse examine la dispersion multivariée des modelés normales stables Tweedie. Trois estimateurs de fonction variance généralisée sont discutés. Ensuite dans le cadre de la famille exponentielle naturelle deux caractérisations du modèle normal-Poisson, qui est un cas particulier de modèles normales stables Tweedie avec composante discrète, sont indiquées : d'abord par fonction variance et ensuite par fonction variance généralisée. Le dernier fournit la solution à un problème particulier d'équation de Monge-Ampère. Enfin, pour illustrer l'application de la variance généralisée des modèles
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Ahrabian, Alireza. "Multivariate time-frequency analysis." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/28958.

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Recent advances in time-frequency theory have led to the development of high resolution time-frequency algorithms, such as the empirical mode decomposition (EMD) and the synchrosqueezing transform (SST). These algorithms provide enhanced localization in representing time varying oscillatory components over conventional linear and quadratic time-frequency algorithms. However, with the emergence of low cost multichannel sensor technology, multivariate extensions of time-frequency algorithms are needed in order to exploit the inter-channel dependencies that may arise for multivariate data. Applic
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Ahmed, Mosabber Uddin. "Multivariate multiscale complexity analysis." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/10204.

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Established dynamical complexity analysis measures operate at a single scale and thus fail to quantify inherent long-range correlations in real world data, a key feature of complex systems. They are designed for scalar time series, however, multivariate observations are common in modern real world scenarios and their simultaneous analysis is a prerequisite for the understanding of the underlying signal generating model. To that end, this thesis first introduces a notion of multivariate sample entropy and thus extends the current univariate complexity analysis to the multivariate case. The prop
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Alashwali, Fatimah Salem. "Robustness and multivariate analysis." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/5299/.

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Invariant coordinate selection (ICS) is a method for �nding structures in multivariate data using the eigenvalue-eigenvector decomposition of two different scatter matrices. The performance of the ICS depends on the structure of the data and the choice of the scatter matrices. The main goal of this thesis is to understand how ICS works in some situations, and does not in other. In particular, we look at ICS under three different structures: two-group mixtures, long-tailed distributions, and parallel line structure. Under two-group mixtures, we explore ICS based on the fourth-order moment matri
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Yang, Di. "Analysis guided visual exploration of multivariate data." Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050407-005925/.

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Lans, Ivo A. van der. "Nonlinear multivariate analysis for multiattribute preference data." [Leiden] : DSWO Press, Leiden University, 1992. http://catalog.hathitrust.org/api/volumes/oclc/28733326.html.

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Chongcharoen, Samruam. "One-sided multivariate tests /." free to MU campus, to others for purchase, 1998. http://wwwlib.umi.com/cr/mo/fullcit?p9924874.

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Salter, Amy Beatrix. "Multivariate dependencies in survival analysis." Title page, contents and introduction only, 1999. http://web4.library.adelaide.edu.au/theses/09PH/09phs177.pdf.

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Bibliography: leaves 177-181. This thesis investigates determinants of factors associated with retention of injecting drug users on the South Australian methadone program over the decade 1981 to mid 1991. Truncated multivariate survival models are proposed for the analysis of data from the program, and the theory of graphical chain models applied to the data. A detailed analysis is presented which gives further insight into the nature of the relationships that exist amongst these data. This provides an application of graphical chain models to survival data.
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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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Books on the topic "Multivariate analysis"

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Hair, Joseph F. Multivariate data analysis with readings. 2nd ed. Macmillan, 1987.

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S, Fidell Linda, ed. Using multivariate statistics. 3rd ed. HarperCollins College Publishers, 1996.

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S, Fidell Linda, ed. Using multivariate statistics. 5th ed. Pearson/Allyn & Bacon, 2007.

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Tabachnick, Barbara G. Using multivariate statistics. 2nd ed. HarperCollins, 1989.

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Tabachnick, Barbara G. Using multivariate statistics. 4th ed. Allyn and Bacon, 2001.

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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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H, Woźniakowski, ed. Tractability of multivariate problems. European Mathematical Society, 2008.

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Book chapters on the topic "Multivariate analysis"

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Regression Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40411-6_2.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Conjoint Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40411-6_9.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Factor Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40411-6_7.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Cluster Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40411-6_8.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Contingency Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40411-6_6.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Discriminant Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40411-6_4.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Regression Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32589-3_2.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Conjoint Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32589-3_9.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Contingency Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32589-3_6.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Discriminant Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32589-3_4.

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Conference papers on the topic "Multivariate analysis"

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švásta, Adam, Beáta Kopilaková, Jiří Stodola, and Petr Stodola. "Multivariate Analysis of Diagnostic Data." In 2025 International Conference on Military Technologies (ICMT). IEEE, 2025. https://doi.org/10.1109/icmt65201.2025.11061292.

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Ma, Guanqun, David Lenz, Tom Peterka, Hanqi Guo, and Bei Wang. "Critical Point Extraction from Multivariate Functional Approximation." In 2024 IEEE Topological Data Analysis and Visualization (TopoInVis). IEEE, 2024. http://dx.doi.org/10.1109/topoinvis64104.2024.00006.

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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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Kouvaras, George, and George Kokolakis. "Random Multivariate Multimodal Distributions." In Recent Advances in Stochastic Modeling and Data Analysis. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812709691_0009.

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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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Hoffmann, Jan, Klaus Aehlig, and Martin Hofmann. "Multivariate amortized resource analysis." In the 38th annual ACM SIGPLAN-SIGACT symposium. ACM Press, 2011. http://dx.doi.org/10.1145/1926385.1926427.

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Nam Anh, Dao. "Multivariate Filter for Saliency." In 2018 1st International Conference on Multimedia Analysis and Pattern Recognition (MAPR). IEEE, 2018. http://dx.doi.org/10.1109/mapr.2018.8337522.

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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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Naveed, Khuram, Sidra Mukhtar, and Naveed Ur Rehman. "Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis." In 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021. http://dx.doi.org/10.1109/ssp49050.2021.9513823.

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Reports on the topic "Multivariate analysis"

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Madych, W. R. Multivariate Multiscale Analysis. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada229502.

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Rao, C. R. Applications of Multivariate Analysis. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada265250.

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Dzhangarov, A. I. Multivariate analysis of variance analysis software. Engineering Herald of Don, 2019. http://dx.doi.org/10.18411/0236-8898-1123.

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Dzhangarov, A. I. Multivariate analysis of variance analysis software. Engineering Herald of Don, 2019. http://dx.doi.org/10.18411/0236-8898-1123-2020.

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Rao, C. R. Multivariate Analysis and Its Applications. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada205585.

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Krishnaiah, P. R., and C. R. Rao. Multivariate Analysis and Its Application. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada189983.

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Anderson, Theodore W. Time Series Analysis and Multivariate Statistical Analysis. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada202273.

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Anderson, Theodore W. Time Series Analysis and Multivariate Statistical Analysis. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada161375.

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Alam, M. Kathleen. Multivariate Analysis of Seismic Field Data. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/8993.

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Anderson, I. M., and J. Bentley. Multivariate statistical analysis of spectrum lines and images. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/505348.

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