Gotowa bibliografia na temat „Principal components”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Spis treści
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Principal components”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "Principal components"
Sutter, Jon M., John H. Kalivas i Patrick M. Lang. "Which principal components to utilize for principal component regression". Journal of Chemometrics 6, nr 4 (lipiec 1992): 217–25. http://dx.doi.org/10.1002/cem.1180060406.
Pełny tekst źródłaAbegaz, Fentaw, Kridsadakorn Chaichoompu, Emmanuelle Génin, David W. Fardo, Inke R. König, Jestinah M. Mahachie John i Kristel Van Steen. "Principals about principal components in statistical genetics". Briefings in Bioinformatics 20, nr 6 (14.09.2018): 2200–2216. http://dx.doi.org/10.1093/bib/bby081.
Pełny tekst źródłaHaswell, S. J. "Principal Components". Analytica Chimica Acta 309, nr 1-3 (czerwiec 1995): 405–6. http://dx.doi.org/10.1016/0003-2670(95)90335-6.
Pełny tekst źródłaMiyazaki, Haruo, i Youichi Seki. "Principal Components and Principal Clusters". Journal of Information and Optimization Sciences 8, nr 2 (maj 1987): 189–99. http://dx.doi.org/10.1080/02522667.1987.10698885.
Pełny tekst źródłaFujiwara, Masakazu, Tomohiro Minamidani, Isamu Nagai i Hirofumi Wakaki. "Principal Components Regression by Using Generalized Principal Components Analysis". JOURNAL OF THE JAPAN STATISTICAL SOCIETY 43, nr 1 (2013): 57–78. http://dx.doi.org/10.14490/jjss.43.57.
Pełny tekst źródłaSaegusa, Ryo, Hitoshi Sakano i Shuji Hashimoto. "Nonlinear principal component analysis to preserve the order of principal components". Neurocomputing 61 (październik 2004): 57–70. http://dx.doi.org/10.1016/j.neucom.2004.03.004.
Pełny tekst źródłaMertens, B. J. A., T. Fearn i M. Thompson. "Efficient cross-validation of principal components applied to principal component regression". Statistics and Computing 6, nr 2 (czerwiec 1996): 178. http://dx.doi.org/10.1007/bf00162530.
Pełny tekst źródłaWhitlark, David, i George H. Dunteman. "Principal Components Analysis". Journal of Marketing Research 27, nr 2 (maj 1990): 243. http://dx.doi.org/10.2307/3172855.
Pełny tekst źródłaAmmann, Larry P. "Robust Principal Components". Communications in Statistics - Simulation and Computation 18, nr 3 (styczeń 1989): 857–74. http://dx.doi.org/10.1080/03610918908812795.
Pełny tekst źródłaFranses, Philip Hans, i Eva Janssens. "Spurious principal components". Applied Economics Letters 26, nr 1 (luty 2018): 37–39. http://dx.doi.org/10.1080/13504851.2018.1433292.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaNesta 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, i 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.
Pełny tekst źródłaSun, Linjuan. "Simple principal components". Thesis, Open University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429528.
Pełny tekst źródłaDuras, 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.
Pełny tekst źródłaBrubaker, S. Charles. "Extensions of principal components analysis". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29645.
Pełny tekst źródłaCommittee 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.
Pełny tekst źródłaIncludes 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.
Pełny tekst źródłaBrandenberg, 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.
Pełny tekst źródłaUddin, Mudassir. "Interpretation of results from simplified principal components". Thesis, University of Aberdeen, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301216.
Pełny tekst źródłaNeuenschwander, 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.
Pełny tekst źródłaKsiążki na temat "Principal components"
Principal components analysis. Newbury Park, Calif: Sage, 1989.
Znajdź pełny tekst źródłaDunteman, 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.
Pełny tekst źródłaDunteman, George H. Principal components analysis. Newbury Park: Sage Publications, 1989.
Znajdź pełny tekst źródłaDunteman, George H. Principal components analysis. Newbury Park: Sage Publications, 1989.
Znajdź pełny tekst źródłaPrincipal component analysis. New York: Springer-Verlag, 1986.
Znajdź pełny tekst źródłaJolliffe, I. T. Principal component analysis. Wyd. 2. New York: Springer, 2010.
Znajdź pełny tekst źródłaPrincipal component analysis. Wyd. 2. New York: Springer, 2002.
Znajdź pełny tekst źródłaA user's guide to principal components. Hoboken, N.J: Wiley-Interscience, 2003.
Znajdź pełny tekst źródłaLeBlanc, Michael R. Adaptive principal surfaces. Toronto: University of Toronto, Dept. of Statistics, 1991.
Znajdź pełny tekst źródłaJackson, J. Edward. A user's guide to principal components. New York: Wiley, 1991.
Znajdź pełny tekst źródłaCzęści książek na temat "Principal components"
Kloek, T. "Principal Components". W Time Series and Statistics, 204–7. London: Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-20865-4_27.
Pełny tekst źródłaFalk, Michael, Frank Marohn i Bernward Tewes. "Principal Components". W 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.
Pełny tekst źródłaBrown, Charles E. "Principal Components". W 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.
Pełny tekst źródłaKloek, T. "Principal Components". W 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.
Pełny tekst źródłaKloek, T. "Principal Components". W 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.
Pełny tekst źródłaHatanaka, Michio, i Hiroshi Yamada. "Principal Components". W 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.
Pełny tekst źródłaJolicoeur, Pierre. "Principal components or principal axes". W Introduction to Biometry, 280–302. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4777-8_32.
Pełny tekst źródłaHilbert, Sven, i Markus Bühner. "Principal Components Analysis". W 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.
Pełny tekst źródłaHärdle, Wolfgang, i Léopold Simar. "Principal Components Analysis". W Applied Multivariate Statistical Analysis, 233–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05802-2_9.
Pełny tekst źródłaEveritt, Brian S., i Graham Dunn. "Principal Components Analysis". W Applied Multivariate Data Analysis, 48–73. West Sussex, United Kingdom: John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9781118887486.ch3.
Pełny tekst źródłaStreszczenia konferencji na temat "Principal components"
SAUCIER, ANTOINE. "LOCALIZED PRINCIPAL COMPONENTS". W Conference on Fractals 2002. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777720_0028.
Pełny tekst źródłaSAUCIER, ANTOINE. "MULTISCALE PRINCIPAL COMPONENTS". W Fractals and Related Phenomena in Nature. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702746_0024.
Pełny tekst źródłaBishop, C. M. "Variational principal components". W 9th International Conference on Artificial Neural Networks: ICANN '99. IEE, 1999. http://dx.doi.org/10.1049/cp:19991160.
Pełny tekst źródłaGuo, Hao, Kurt J. Marfurt, Jianlei Liu i Qifeng Dou. "Principal components analysis of spectral components". W SEG Technical Program Expanded Abstracts 2006. Society of Exploration Geophysicists, 2006. http://dx.doi.org/10.1190/1.2370422.
Pełny tekst źródłaAquilina, Kirsty, David A. W. Barton i Nathan F. Lepora. "Principal Components of Touch". W 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8461045.
Pełny tekst źródłaBoutsidis, Christos, Dan Garber, Zohar Karnin i Edo Liberty. "Online Principal Components Analysis". W 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.
Pełny tekst źródłaFoi, Alessandro, i Giacomo Boracchi. "Nonlocal foveated principal components". W 2014 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2014. http://dx.doi.org/10.1109/ssp.2014.6884596.
Pełny tekst źródłaFirmansyah, Gerry, Zainal A. Hasibuan i Yudho Giri Sucahyo. "Indonesia e-Government components: A principal component analysis approach". W 2014 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2014. http://dx.doi.org/10.1109/icitsi.2014.7048255.
Pełny tekst źródłaWei-min, Liu, i Chang Chein-I. "Variants of Principal Components Analysis". W 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4422989.
Pełny tekst źródłaHoang, A. "Information retrieval with principal components". W International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. IEEE, 2004. http://dx.doi.org/10.1109/itcc.2004.1286463.
Pełny tekst źródłaRaporty organizacyjne na temat "Principal components"
Chen, Xiaohong, Jose A. Scheinkman i Lars Peter Hansen. Principal components and the long run. Institute for Fiscal Studies, maj 2009. http://dx.doi.org/10.1920/wp.cem.2009.0709.
Pełny tekst źródłaNeumann, Michael, i Hans Schneider. Principal Components of Minus M-Matrices. Fort Belvoir, VA: Defense Technical Information Center, luty 1991. http://dx.doi.org/10.21236/ada232354.
Pełny tekst źródłaLiu, Yong, i Harel Shouval. Principal Components of Natural Images: An Analytical Solution. Fort Belvoir, VA: Defense Technical Information Center, maj 1993. http://dx.doi.org/10.21236/ada264800.
Pełny tekst źródłaFekedulegn, B. Desta, J. J. Colbert, R. R. ,. Jr Hicks i 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.
Pełny tekst źródłaHarter, Rachel M., Pinliang (Patrick) Chen, Joseph P. McMichael, Edgardo S. Cureg, Samson A. Adeshiyan i Katherine B. Morton. Constructing Strata of Primary Sampling Units for the Residential Energy Consumption Survey. RTI Press, maj 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0041.1705.
Pełny tekst źródłaMARTIN, SHAWN B. Kernel Near Principal Component Analysis. Office of Scientific and Technical Information (OSTI), lipiec 2002. http://dx.doi.org/10.2172/810934.
Pełny tekst źródłaSchennach, Susanne M., i Florian Gunsilius. A nonlinear principal component decomposition. The IFS, marzec 2017. http://dx.doi.org/10.1920/wp.cem.2017.1617.
Pełny tekst źródłaFlicker, Dawn, James Carney, Mary Cusentino, Khalid Hattar, Michael Steinkamp i 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), styczeń 2022. http://dx.doi.org/10.2172/1855066.
Pełny tekst źródłaAït-Sahalia, Yacine, i Dacheng Xiu. Principal Component Analysis of High Frequency Data. Cambridge, MA: National Bureau of Economic Research, wrzesień 2015. http://dx.doi.org/10.3386/w21584.
Pełny tekst źródłaDing, Chris H. Q., Xiaofeng He, Hongyuan Zha i Horst D. Simon. Self-aggregation in scaled principal component space. Office of Scientific and Technical Information (OSTI), październik 2001. http://dx.doi.org/10.2172/820779.
Pełny tekst źródła