Literatura académica sobre el tema "Principal components"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Principal components".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Principal components"
Sutter, Jon M., John H. Kalivas y Patrick M. Lang. "Which principal components to utilize for principal component regression". Journal of Chemometrics 6, n.º 4 (julio de 1992): 217–25. http://dx.doi.org/10.1002/cem.1180060406.
Texto completoAbegaz, Fentaw, Kridsadakorn Chaichoompu, Emmanuelle Génin, David W. Fardo, Inke R. König, Jestinah M. Mahachie John y Kristel Van Steen. "Principals about principal components in statistical genetics". Briefings in Bioinformatics 20, n.º 6 (14 de septiembre de 2018): 2200–2216. http://dx.doi.org/10.1093/bib/bby081.
Texto completoHaswell, S. J. "Principal Components". Analytica Chimica Acta 309, n.º 1-3 (junio de 1995): 405–6. http://dx.doi.org/10.1016/0003-2670(95)90335-6.
Texto completoMiyazaki, Haruo y Youichi Seki. "Principal Components and Principal Clusters". Journal of Information and Optimization Sciences 8, n.º 2 (mayo de 1987): 189–99. http://dx.doi.org/10.1080/02522667.1987.10698885.
Texto completoFujiwara, Masakazu, Tomohiro Minamidani, Isamu Nagai y Hirofumi Wakaki. "Principal Components Regression by Using Generalized Principal Components Analysis". JOURNAL OF THE JAPAN STATISTICAL SOCIETY 43, n.º 1 (2013): 57–78. http://dx.doi.org/10.14490/jjss.43.57.
Texto completoSaegusa, Ryo, Hitoshi Sakano y Shuji Hashimoto. "Nonlinear principal component analysis to preserve the order of principal components". Neurocomputing 61 (octubre de 2004): 57–70. http://dx.doi.org/10.1016/j.neucom.2004.03.004.
Texto completoMertens, B. J. A., T. Fearn y M. Thompson. "Efficient cross-validation of principal components applied to principal component regression". Statistics and Computing 6, n.º 2 (junio de 1996): 178. http://dx.doi.org/10.1007/bf00162530.
Texto completoWhitlark, David y George H. Dunteman. "Principal Components Analysis". Journal of Marketing Research 27, n.º 2 (mayo de 1990): 243. http://dx.doi.org/10.2307/3172855.
Texto completoAmmann, Larry P. "Robust Principal Components". Communications in Statistics - Simulation and Computation 18, n.º 3 (enero de 1989): 857–74. http://dx.doi.org/10.1080/03610918908812795.
Texto completoFranses, Philip Hans y Eva Janssens. "Spurious principal components". Applied Economics Letters 26, n.º 1 (febrero de 2018): 37–39. http://dx.doi.org/10.1080/13504851.2018.1433292.
Texto completoTesis sobre el tema "Principal components"
Nunes, Madalena Baioa Paraíso. "Portfolio selection : a study using principal component analysis". Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14598.
Texto completoNesta tese aplicámos a análise de componentes principais ao mercado bolsista português usando os constituintes do índice PSI-20, de Julho de 2008 a Dezembro de 2016. Os sete primeiros componentes principais foram retidos, por se ter verificado que estes representavam as maiores fontes de risco deste mercado em específico. Assim, foram construídos sete portfólios principais e comparámo-los com outras estratégias de alocação. Foram construídos o portfólio 1/N (portfólio com investimento igual para cada um dos 26 ativos), o PPEqual (portfólio com igual investimento em cada um dos 7 principal portfólios) e o portfólio MV (portfólio que tem por base a teoria moderna de gestão de carteiras de Markowitz (1952)). Concluímos que estes dois últimos portfólios apresentavam os melhores resultados em termos de risco e retorno, sendo o portfólio PPEqual mais adequado a um investidor com maior grau de aversão ao risco e o portfólio MV mais adequado a um investidor que estaria disposto a arriscar mais em prol de maior retorno. No que diz respeito ao nível de risco, o PPEqual é o portfólio com melhores resultados e nenhum outro portfólio conseguiu apresentar valores semelhantes. Assim encontrámos um portfólio que é a ponderação de todos os portfólios principais por nós construídos e este era o portfólio mais eficiente em termos de risco.
In this thesis we apply principal component analysis to the Portuguese stock market using the constituents of the PSI-20 index from July 2008 to December 2016. The first seven principal components were retained, as we verified that these represented the major risk sources in this specific market. Seven principal portfolios were constructed and we compared them with other allocation strategies. The 1/N portfolio (with an equal investment in each of the 26 stocks), the PPEqual portfolio (with an equal investment in each of the 7 principal portfolios) and the MV portfolio (based on Markowitz's (1952) mean-variance strategy) were constructed. We concluded that these last two portfolios presented the best results in terms of return and risk, with PPEqual portfolio being more suitable for an investor with a greater degree of risk aversion and the MV portfolio more suitable for an investor willing to risk more in favour of higher returns. Regarding the level of risk, PPEqual is the portfolio with the best results and, so far, no other portfolio has presented similar values. Therefore, we found an equally-weighted portfolio among all the principal portfolios we built, which was the most risk efficient.
info:eu-repo/semantics/publishedVersion
Kassaye, Meseret Haile y Yigit Demir. "Calibration Based On Principal Components". Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-26582.
Texto completoSun, Linjuan. "Simple principal components". Thesis, Open University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429528.
Texto completoDuras, Toni. "Aspects of common principal components". Licentiate thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-38587.
Texto completoBrubaker, S. Charles. "Extensions of principal components analysis". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29645.
Texto completoCommittee Chair: Santosh Vempala; Committee Member: Adam Kalai; Committee Member: Haesun Park; Committee Member: Ravi Kannan; Committee Member: Vladimir Koltchinskii. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Khwambala, Patricia Helen. "The importance of selecting the optimal number of principal components for fault detection using principal component analysis". Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/11930.
Texto completoIncludes bibliographical references.
Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization. Principal component analysis is one of the statistical techniques that are used for fault detection. Determination of the number of PCs to be retained plays a big role in detecting a fault using the PCA technique. In this dissertation focus has been drawn on the methods of determining the number of PCs to be retained for accurate and effective fault detection in a laboratory thermal system. SNR method of determining number of PCs, which is a relatively recent method, has been compared to two commonly used methods for the same, the CPV and the scree test methods.
Zavala, Frank Alcorta. "Principals' Perceptions of the Most Important Components in an Effective Principal Preparation Program". ScholarWorks, 2014. https://scholarworks.waldenu.edu/dissertations/26.
Texto completoBrandenberg, Romano Rodolfo. "Principal Components Analysis of Commodity Trading Advisors". St. Gallen, 2008. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/02604577002/$FILE/02604577002.pdf.
Texto completoUddin, Mudassir. "Interpretation of results from simplified principal components". Thesis, University of Aberdeen, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301216.
Texto completoNeuenschwander, Beat. "Common principal components for dependent random vectors /". [Bern] : [s.n.], 1991. http://www.ub.unibe.ch/content/bibliotheken_sammlungen/sondersammlungen/dissen_bestellformular/index_ger.html.
Texto completoLibros sobre el tema "Principal components"
Principal components analysis. Newbury Park, Calif: Sage, 1989.
Buscar texto completoDunteman, George. Principal Components Analysis. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1989. http://dx.doi.org/10.4135/9781412985475.
Texto completoDunteman, George H. Principal components analysis. Newbury Park: Sage Publications, 1989.
Buscar texto completoDunteman, George H. Principal components analysis. Newbury Park: Sage Publications, 1989.
Buscar texto completoPrincipal component analysis. New York: Springer-Verlag, 1986.
Buscar texto completoJolliffe, I. T. Principal component analysis. 2a ed. New York: Springer, 2010.
Buscar texto completoPrincipal component analysis. 2a ed. New York: Springer, 2002.
Buscar texto completoA user's guide to principal components. Hoboken, N.J: Wiley-Interscience, 2003.
Buscar texto completoLeBlanc, Michael R. Adaptive principal surfaces. Toronto: University of Toronto, Dept. of Statistics, 1991.
Buscar texto completoJackson, J. Edward. A user's guide to principal components. New York: Wiley, 1991.
Buscar texto completoCapítulos de libros sobre el tema "Principal components"
Kloek, T. "Principal Components". En Time Series and Statistics, 204–7. London: Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-20865-4_27.
Texto completoFalk, Michael, Frank Marohn y Bernward Tewes. "Principal Components". En Foundations of Statistical Analyses and Applications with SAS, 321–61. Basel: Birkhäuser Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-8195-1_8.
Texto completoBrown, Charles E. "Principal Components". En Applied Multivariate Statistics in Geohydrology and Related Sciences, 103–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80328-4_9.
Texto completoKloek, T. "Principal Components". En The New Palgrave Dictionary of Economics, 1–4. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_1776-1.
Texto completoKloek, T. "Principal Components". En The New Palgrave Dictionary of Economics, 10747–49. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_1776.
Texto completoHatanaka, Michio y Hiroshi Yamada. "Principal Components". En Co-trending: A Statistical System Analysis of Economic Trends, 25–27. Tokyo: Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-65912-9_4.
Texto completoJolicoeur, Pierre. "Principal components or principal axes". En Introduction to Biometry, 280–302. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4777-8_32.
Texto completoHilbert, Sven y Markus Bühner. "Principal Components Analysis". En Encyclopedia of Personality and Individual Differences, 4030–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1340.
Texto completoHärdle, Wolfgang y Léopold Simar. "Principal Components Analysis". En Applied Multivariate Statistical Analysis, 233–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05802-2_9.
Texto completoEveritt, Brian S. y Graham Dunn. "Principal Components Analysis". En Applied Multivariate Data Analysis, 48–73. West Sussex, United Kingdom: John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9781118887486.ch3.
Texto completoActas de conferencias sobre el tema "Principal components"
SAUCIER, ANTOINE. "LOCALIZED PRINCIPAL COMPONENTS". En Conference on Fractals 2002. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777720_0028.
Texto completoSAUCIER, ANTOINE. "MULTISCALE PRINCIPAL COMPONENTS". En Fractals and Related Phenomena in Nature. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702746_0024.
Texto completoBishop, C. M. "Variational principal components". En 9th International Conference on Artificial Neural Networks: ICANN '99. IEE, 1999. http://dx.doi.org/10.1049/cp:19991160.
Texto completoGuo, Hao, Kurt J. Marfurt, Jianlei Liu y Qifeng Dou. "Principal components analysis of spectral components". En SEG Technical Program Expanded Abstracts 2006. Society of Exploration Geophysicists, 2006. http://dx.doi.org/10.1190/1.2370422.
Texto completoAquilina, Kirsty, David A. W. Barton y Nathan F. Lepora. "Principal Components of Touch". En 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8461045.
Texto completoBoutsidis, Christos, Dan Garber, Zohar Karnin y Edo Liberty. "Online Principal Components Analysis". En Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973730.61.
Texto completoFoi, Alessandro y Giacomo Boracchi. "Nonlocal foveated principal components". En 2014 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2014. http://dx.doi.org/10.1109/ssp.2014.6884596.
Texto completoFirmansyah, Gerry, Zainal A. Hasibuan y Yudho Giri Sucahyo. "Indonesia e-Government components: A principal component analysis approach". En 2014 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2014. http://dx.doi.org/10.1109/icitsi.2014.7048255.
Texto completoWei-min, Liu y Chang Chein-I. "Variants of Principal Components Analysis". En 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4422989.
Texto completoHoang, A. "Information retrieval with principal components". En International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. IEEE, 2004. http://dx.doi.org/10.1109/itcc.2004.1286463.
Texto completoInformes sobre el tema "Principal components"
Chen, Xiaohong, Jose A. Scheinkman y Lars Peter Hansen. Principal components and the long run. Institute for Fiscal Studies, mayo de 2009. http://dx.doi.org/10.1920/wp.cem.2009.0709.
Texto completoNeumann, Michael y Hans Schneider. Principal Components of Minus M-Matrices. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1991. http://dx.doi.org/10.21236/ada232354.
Texto completoLiu, Yong y Harel Shouval. Principal Components of Natural Images: An Analytical Solution. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1993. http://dx.doi.org/10.21236/ada264800.
Texto completoFekedulegn, B. Desta, J. J. Colbert, R. R. ,. Jr Hicks y Michael E. Schuckers. Coping with Multicollinearity: An Example on Application of Principal Components Regression in Dendroecology. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station, 2002. http://dx.doi.org/10.2737/ne-rp-721.
Texto completoHarter, Rachel M., Pinliang (Patrick) Chen, Joseph P. McMichael, Edgardo S. Cureg, Samson A. Adeshiyan y Katherine B. Morton. Constructing Strata of Primary Sampling Units for the Residential Energy Consumption Survey. RTI Press, mayo de 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0041.1705.
Texto completoMARTIN, SHAWN B. Kernel Near Principal Component Analysis. Office of Scientific and Technical Information (OSTI), julio de 2002. http://dx.doi.org/10.2172/810934.
Texto completoSchennach, Susanne M. y Florian Gunsilius. A nonlinear principal component decomposition. The IFS, marzo de 2017. http://dx.doi.org/10.1920/wp.cem.2017.1617.
Texto completoFlicker, Dawn, James Carney, Mary Cusentino, Khalid Hattar, Michael Steinkamp y Larico Treadwell. Assessment of Sandia?s 2021 Pilot Program for Research Traineeships to Broaden and Diversify Fusion Energy Science: Development and Rapid Screening of Refractory Multi-Principal Elemental Composites for Plasma Facing Components. Office of Scientific and Technical Information (OSTI), enero de 2022. http://dx.doi.org/10.2172/1855066.
Texto completoAït-Sahalia, Yacine y Dacheng Xiu. Principal Component Analysis of High Frequency Data. Cambridge, MA: National Bureau of Economic Research, septiembre de 2015. http://dx.doi.org/10.3386/w21584.
Texto completoDing, Chris H. Q., Xiaofeng He, Hongyuan Zha y Horst D. Simon. Self-aggregation in scaled principal component space. Office of Scientific and Technical Information (OSTI), octubre de 2001. http://dx.doi.org/10.2172/820779.
Texto completo