Books on the topic 'Principal components analysis'

Dunteman, George H. Principal components analysis. Newbury Park: Sage Publications, 1989.

Dunteman, George H. Principal components analysis. Newbury Park: Sage Publications, 1989.

Dunteman, 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.

Jolliffe, I. T. Principal component analysis. 2nd ed. New York: Springer, 2010.

Hyvarinen, Aapo. Independent component analysis. New York: J. Wiley, 2001.

Juha, Karhunen, and Oja Erkki, eds. Independent component analysis. New York: J. Wiley, 2001.

Jackson, J. Edward. A user's guide to principal components. New York: Wiley, 1991.

Flury, Bernhard. Common principal components and related multivariate models. New York: Wiley, 1988.

LeBlanc, Michael R. Adaptive principal surfaces. Toronto: University of Toronto, Dept. of Statistics, 1991.

J, Dunn W., Scott D. R. 1934-, and United States. Environmental Protection Agency., eds. Principal components analysis and partial least squares regression. [Washington, D.C.?: U.S. Environmental Protection Agency, 1992.

Kiers, Henk A. L. Three-way methods for the analysis of qualitative and quantitative two-way data. Leiden, Netherlands: DSWO Press, University of Leiden, 1989.

Pla, Laura E. Análisis multivariado: Método de componentes principales. Washington, D.C: Secretaría General de la Organización de los Estados Americanos, Programa Regional de Desarrollo Científico y Tecnológico, 1986.

Flury, Bernhard. Commonprincipal components and related multivariate models. New York: Wiley, 1988.

Niesing, Jan. Simultaneous component and factor analysis methods for two or more groups: A comparative study. The Netherlands: DSWO Press, Leiden University, 1997.

D, Mobley Curtis, ed. Principal component analysis in meteorology and oceanography. Amsterdam: Elsevier, 1988.

Wightman, Frederic. Psychophysical evaluation of three-dimensional auditory displays: Semiannual progress report. [Washington, DC]: National Aeronautics and Space Administration, 1991.

DeLombard, Richard. Comparison tools for assessing the microgravity environment of orbital missions, carriers and conditions. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.

universitet, Uppsala, ed. Interactive explorative analysis of multivariate images using principal components. Uppsala: Univ., 1994.

Archibald, T. W. Application of principal component analysis to an aggregate stochastic dynamic programming model of multiple reservoir systems. Edinburgh: University of Edinburgh, Management School, 1995.

Röhr, Michael. Statistische Strukturanalysen. Stuttgart: G. Fischer, 1993.

Rijckevorsel, Jan L. A. van. and Leeuw Jan de, eds. Component and correspondence analysis: Dimension reductionby functional approximation. Chichester: Wiley, 1988.

Rijckevorsel, Jan L. A. van. and Leeuw Jan de, eds. Component and correspondence analysis: Dimension reduction by functional approximation. Chichester [England]: Wiley, 1988.

Sinclair-Desgagne, Bernard. The first-order approach to multi-task principal-agent problems. Fontainebleau: INSEAD, 1991.

Klink, Katherine. Space-time analysis of the surface wind field using vector-based principal components analysis. Elmer, N.J: C.W. Thornthwaite Associates, Laboratory of climatology, 1986.

Klink, Katherine. Space-time analysis of the surface wind field using vector-based principal components analysis. Elmer, N.J: C.W. Thornthwaite Associates, Laboratory of Climatology, 1986.

Pentecost, Eric. A principal components analysis of financial integration within the European Community. Loughborough: Department of Economics, Loughborough University of Technology, 1991.

Netherlands. Ministerie van Landbouw en Visserij. Agricultural Mathematics Group. Canoco: A FORTRAN program for canonical community ordination by [partial] [detrended] [canonical] correspondence, analysis, principal components analysis and redundancy analysis (version 2.1). Wageningen: GLW, 1988.

Egginton, Donald Michael. A principal components analysis of the UK term structure and the influence of fiscal policy. [s.l.]: typescript, 1999.

N, Gorbanʹ A., ed. Principal manifolds for data visualization and dimension reduction. Berlin: Springer, 2007.

Jolliffe, I. T. Principal Component Analysis. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4757-1904-8.

Vidal, René, Yi Ma, and S. S. Sastry. Generalized Principal Component Analysis. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-0-387-87811-9.

Naik, Ganesh R., ed. Advances in Principal Component Analysis. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6704-4.

Sanguansat, Parinya. Principal component analysis - multidisciplinary applications. Rijeka: InTech, 2012.

Kong, Xiangyu, Changhua Hu, and Zhansheng Duan. Principal Component Analysis Networks and Algorithms. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2915-8.

Mori, Yuichi, Masahiro Kuroda, and Naomichi Makino. Nonlinear Principal Component Analysis and Its Applications. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0159-8.

Tanaka-Yamawaki, Mieko, and Yumihiko Ikura. Principal Component Analysis and Randomness Test for Big Data Analysis. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-3967-9.

Binongo, José Nilo G. Stylometry and its implementation by principal component analysis. [s.l: The Author], 2000.

Checchi, Daniele. Economic interdependence and structural change: Some results from principal component analysis. Newcastle upon Tyne: Dept. of Economics and Government, Newcastle upon Tyne Polytechnic, 1989.

Armando García de León Loza. Generalidades del análisis de cúmulos y del análisis de componentes principales. México, D.F: Instituto de Geografía, Universidad Nacional Autónoma de México, 1988.

Zhang, Wenfei. Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths. [New York, N.Y.?]: [publisher not identified], 2012.

Eder, B. K. The spatial and temporal analysis of non-urban ozone concentrations over the eastern United States using rotated principal component analysis. [Washington, D.C: U.S. Environmental Protection Agency, 1992.

Eder, B. K. The spatial and temporal analysis of non-urban ozone concentrations over the eastern United States using rotated principal component analysis. [Washington, D.C: U.S. Environmental Protection Agency, 1992.

Principal components analysis. Newbury Park, Calif: Sage, 1989.

Jackson, J. Edward. User's Guide to Principal Components. Wiley & Sons, Incorporated, John, 2005.

Principal component analysis. New York: Springer-Verlag, 1986.

Principal component analysis. 2nd ed. New York: Springer, 2002.

Oja, Erkki, Aapo Hyvärinen, and Juha Karhunen. Independent Component Analysis. Wiley-Interscience, 2001.

Takane, Yoshio. Constrained Principal Component Analysis and Related Techniques. Taylor & Francis Group, 2013.

Takane, Yoshio. Constrained Principal Component Analysis and Related Techniques. Taylor & Francis Group, 2020.

Takane, Yoshio. Constrained Principal Component Analysis and Related Techniques. Taylor & Francis Group, 2016.