Academic literature on the topic 'Methods multivariate'

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Journal articles on the topic "Methods multivariate"

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Chi, Yueh-Yun. "Multivariate methods." Wiley Interdisciplinary Reviews: Computational Statistics 4, no. 1 (2011): 35–47. http://dx.doi.org/10.1002/wics.185.

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Obuchowski, Nancy A. "Multivariate Statistical Methods." American Journal of Roentgenology 185, no. 2 (2005): 299–309. http://dx.doi.org/10.2214/ajr.185.2.01850299.

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Jackson, J. Edward. "Multivariate Statistical Methods." Technometrics 28, no. 1 (1986): 85–87. http://dx.doi.org/10.1080/00401706.1986.10488102.

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Wilson, William J. "Multivariate Statistical Methods." Technometrics 47, no. 3 (2005): 378. http://dx.doi.org/10.1198/tech.2005.s300.

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George, Laurence L. "Multivariate Statistical Methods." Journal of Quality Technology 23, no. 1 (1991): 75. http://dx.doi.org/10.1080/00224065.1991.11979292.

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Mickey, Ruth, and Alvin C. Rencher. "Methods of Multivariate Analysis." Journal of the American Statistical Association 93, no. 443 (1998): 1239. http://dx.doi.org/10.2307/2669873.

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Smith, Eric P. "Methods of multivariate analysis." Journal of Statistical Planning and Inference 59, no. 1 (1997): 183–84. http://dx.doi.org/10.1016/s0378-3758(96)00098-5.

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Everitt, Brian, and A. C. Rencher. "Methods of Multivariate Analysis." Statistician 45, no. 4 (1996): 535. http://dx.doi.org/10.2307/2988560.

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Mathew, Thomas. "Methods of Multivariate Analysis." Technometrics 38, no. 1 (1996): 76–77. http://dx.doi.org/10.1080/00401706.1996.10484420.

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Katsaounis, Tena Ipsilantis. "Methods of Multivariate Statistics." Technometrics 45, no. 1 (2003): 100–101. http://dx.doi.org/10.1198/tech.2003.s15.

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Dissertations / Theses on the topic "Methods multivariate"

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Gabrielsson, Jon. "Multivariate methods in tablet formulation." Doctoral thesis, Umeå : Univ, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-268.

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Andersson, Greger. "Novel nonlinear multivariate calibration methods /." Stockholm : Tekniska högsk, 1998. http://www.lib.kth.se/abs98/ande0528.pdf.

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Merola, Giovanni Maria. "Dimensionality reduction methods in multivariate prediction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0022/NQ32847.pdf.

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Carper, Benjamin Alan. "Assessing Multivariate Heritability through Nonparametric Methods." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2565.pdf.

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Aranda, Cotta Higor Henrique. "Robust methods in multivariate time series." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC064.

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Ce manuscrit propose de nouvelles méthodes d’estimation robustes pour les fonctions matricielles d’autocovariance et d’autocorrélation de séries chronologiques multivariées stationnaires pouvant présenter des valeurs aberrantes aléatoires additives. Ces fonctions jouent un rôle important dans l’identification et l’estimation des paramètres de modèles de séries chronologiques multivariées stationnaires. Nous proposons tout d'abord de nouveaux estimateurs des fonctions matricielles d’autocovariance et d’autocorrélation construits en utilisant une approche spectrale à l'aide du périodogramme matr
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Andrews, Darren Thomas. "Maximum likelihood multivariate methods in analytical chemistry." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq24729.pdf.

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Pivato, Marcus. "Analytical methods for multivariate stable probability distributions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ63698.pdf.

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Agniel, Denis Madison. "Statistical Methods for Multivariate and Complex Phenotypes." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070048.

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Many important scientific questions can not be studied properly using a single measurement as a response. For example, many phenotypes of interest in recent clinical research may be difficult to characterize due to their inherent complexity. It may be difficult to determine the presence or absence of disease based on a single measurement, or even a few measurements, or the phenotype may only be defined based on a series of symptoms. Similarly, a set of related phenotypes or measurements may be studied together in order to detect a shared etiology. In this work, we propose methods for studying
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Xie, Jiang. "Improved permeability prediction using multivariate analysis methods." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3223.

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MARCHANT, FUENTES Carolina Ivonne. "Essays on multivariate generalized Birnbaum-Saunders methods." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/18647.

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Submitted by Rafael Santana (rafael.silvasantana@ufpe.br) on 2017-04-26T17:07:37Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Carolina Marchant.pdf: 5792192 bytes, checksum: adbd82c79b286d2fe2470b7955e6a9ed (MD5)<br>Made available in DSpace on 2017-04-26T17:07:38Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Carolina Marchant.pdf: 5792192 bytes, checksum: adbd82c79b286d2fe2470b7955e6a9ed (MD5) Previous issue date: 2016-10-31<br>CAPES; BOLSA DO CHILE.<br>In the last decades, univa
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Books on the topic "Methods multivariate"

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Methods of multivariate statistics. Wiley-Interscience, 2002.

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Morrison, Donald F. Multivariate statistical methods. 3rd ed. McGraw-Hill, 1990.

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Multivariate statistical methods. 4th ed. Thomson/Brooks/Cole, 2005.

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Manly, Bryan F. J., and Jorge A. Navarro Alberto. Multivariate Statistical Methods. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/9781315382135.

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1970-, Christensen William F., ed. Methods of multivariate analysis. Wiley, 2012.

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Methods of multivariate analysis. 2nd ed. J. Wiley, 2002.

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Methods of multivariate analysis. Wiley, 1995.

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Rencher, Alvin C., and William F. Christensen. Methods of Multivariate Analysis. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118391686.

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Multivariable modeling and multivariate analysis for the behavioral sciences. CRC Press, 2009.

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Puri, Madan Lal. Nonparametric methods in multivariate analysis. Krieger Pub. Co., 1993.

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Book chapters on the topic "Methods multivariate"

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Shankman, Stewart A., and Thomas M. Olino. "Multivariate methods." In APA handbook of clinical psychology: Theory and research (Vol. 2). American Psychological Association, 2016. http://dx.doi.org/10.1037/14773-019.

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Hess, Klaus Th, Alexander Ludwig, Carsten Pröhl, Klaus D. Schmidt, and Mathias Zocher. "Multivariate Methods." In EAA Series. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30056-6_26.

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Murtagh, Fionn, and André Heck. "Other Methods." In Multivariate Data Analysis. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3789-5_5.

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Reimer, Manfred. "Approximation Methods." In Multivariate Polynomial Approximation. Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8095-4_5.

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Bernstein, Ira H., Calvin P. Garbin, and Gary K. Teng. "Classification Methods—Part 2. Methods of Assignment." In Applied Multivariate Analysis. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8740-4_9.

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Reddy, M. Venkataswamy. "Multivariate Statistical Methods." In Statistical Methods in Psychiatry Research and SPSS. Apple Academic Press, 2019. http://dx.doi.org/10.1201/9780429023309-15.

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Unwin, Antony. "Multivariate Visualization Methods." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_241.

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Smith, Richard L. "Multivariate Threshold Methods." In Extreme Value Theory and Applications. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4613-3638-9_14.

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Unwin, Antony. "Multivariate Visualization Methods." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_241.

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Guebel, Daniel V., and Néstor V. Torres. "Multivariate Methods, Guide." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1275.

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Conference papers on the topic "Methods multivariate"

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Coadou, Yann. "Uses of multivariate analysis methods." In International Workshop on Top Quark Physics. Sissa Medialab, 2007. http://dx.doi.org/10.22323/1.024.0016.

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Polenova, Natalia Alexandrovna. "Methods of reliability multivariate analysis." In IX International Research-to-practice conference, chair Nataliya Eduardovna Samoilenko. TSNS Interaktiv Plus, 2016. http://dx.doi.org/10.21661/r-113057.

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Schaum, A. "Advanced Methods of Multivariate Anomaly Detection." In 2007 IEEE Aerospace Conference. IEEE, 2007. http://dx.doi.org/10.1109/aero.2007.353061.

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Sheriff, M. Ziyan, M. Nazmul Karim, Costas Kravaris, Hazem N. Nounou, and Mohamed N. Nounou. "Improved Multiscale Multivariate Process Monitoring Methods." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9483359.

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Pratt, D. "The multivariate aetiology of foot pathomechanics." In IEE Colloquium Intelligent Methods in Healthcare and Medical Applications. IEE, 1998. http://dx.doi.org/10.1049/ic:19981032.

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Stubbemann, Jannes, Nils Andre Treiber, and Oliver Kramer. "Resilient Propagation for Multivariate Wind Power Prediction." In International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005284403330337.

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Ahmad, Shafiq, Mali Abdollahian, and Babak Abbasi. "Multivariate Performance Analysis Methods - A Comparison Study." In 2011 Eighth International Conference on Information Technology: New Generations (ITNG). IEEE, 2011. http://dx.doi.org/10.1109/itng.2011.109.

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Wenjuan, Li, and Liu Haiqiang. "Multivariate-based evaluation methods for system performance." In 2017 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2017. http://dx.doi.org/10.1109/compcomm.2017.8323065.

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Byrne, Tamara. "Incorporating orthogonal multivariate methods to increase effectiveness." In 2012 e-Manufacturing & Design Collaboration Symposium (eMDC). IEEE, 2012. http://dx.doi.org/10.1109/emdc.2012.6338421.

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Kosanovich, K. A., and M. J. Piovoso. "Process Data Analysis Using Multivariate Statistical Methods." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791468.

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Reports on the topic "Methods multivariate"

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Chui, Charles K. Multivariate Regression with Emphasis on Multivariate Spline Methods. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada197793.

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Matthews, Keith E., and Malcolm S. Taylor. Nonparametric Methods for Multivariate Analysis Using Statistically Equivalent Blocks. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada306594.

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Cheng, Qiuming. Spatially and geographically weighted multivariate analysis methods for mineral image processing. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0169.

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Peterson, J. Multivariate Monte Carlo Methods for the Reflection Grating Spectrometers on XMM-Newton. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/839596.

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Boyd, Thomas J., and Richard B. Coffin. Isotope Ratio Spectrometry Data Processing Software: Multivariate Statistical Methods for Hydrocarbon Source Identification and Comparison. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada422798.

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Cochrane, John. Univariate vs. Multivariate Forecasts of GNP Growth and Stock Returns: Evidence and Implications for the Persistence of Shocks, Detrending Methods. National Bureau of Economic Research, 1990. http://dx.doi.org/10.3386/w3427.

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Safonov, Michael G., and Edmond A. Jonckheere. Practical Methods for Robust Multivariable Control. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada215487.

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Taro Ueki. A Multivariate Time Series Method for Monte Carlo Reactor Analysis. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/935876.

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Wolovich, W. A., and C. Cometta. Practical Methods for the Compensation and Control of Multivariable Systems. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada151047.

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Corriveau, Elizabeth, Ashley Mossell, Holly VerMeulen, Samuel Beal, and Jay Clausen. The effectiveness of laser-induced breakdown spectroscopy (LIBS) as a quantitative tool for environmental characterization. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40263.

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Laser-induced breakdown spectroscopy (LIBS) is a rapid, low-cost analytical method with potential applications for quantitative analysis of soils for heavy metal contaminants found in military ranges. The Department of Defense (DoD), Army, and Department of Homeland Security (DHS) have mission requirements to acquire the ability to detect and identify chemicals of concern in the field. The quantitative potential of a commercial off-the-shelf (COTS) hand-held LIBS device and a classic laboratory bench-top LIBS system was examined by measuring heavy metals (antimony, tungsten, iron, lead, and zi
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