Books on the topic 'Partial least squares analysis'

Lohmöller, Jan-Bernd. Latent variable path modeling with partial least squares. Heidelberg: Physica-Verlag, 1989.

Banks, H. Thomas. Analytic semigroups: Applications to inverse problems for flexible structures. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

Esposito Vinzi, Vincenzo, Wynne W. Chin, Jörg Henseler, and Huiwen Wang, eds. Handbook of Partial Least Squares. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-32827-8.

Latan, Hengky, and Richard Noonan, eds. Partial Least Squares Path Modeling. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3.

Avkiran, Necmi K., and Christian M. Ringle, eds. Partial Least Squares Structural Equation Modeling. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6.

Bochev, Pavel B. Least-squares finite element methods. New York: Springer, 2009.

Linear least squares computations. New York: Marcel Dekker, 1988.

1944-, Hilbe Joseph M., ed. Quasi-least squares regression. Boca Raton: CRC Press, Taylor & Francis Group, 2014.

D, Gunzburger Max, ed. Least-squares finite element methods. New York: Springer, 2009.

Bochev, Pavel B. Least-squares finite element methods. New York: Springer, 2009.

Jos M. F. ten Berge. Least squares optimization in multivariate analysis. Leiden, The Netherlands: DSWO Press, Leiden University, 1993.

Lohmöller, Jan-Bernd. Latent Variable Path Modeling with Partial Least Squares. Heidelberg: Physica-Verlag HD, 1989. http://dx.doi.org/10.1007/978-3-642-52512-4.

Sentana, Enrique. Least squares predictions and mean-variance analysis. London: London School of Economics, Financial Markets Group, 1999.

Santosa, Fadil. An analysis of least-squares velocity inversion. Tulsa, OK: Society of Exploration Geophysicists, 1989.

1948-, Vandewalle J., ed. The total least squares problem: Computational aspects and analysis. Philadelphia: Society for Industrial and Applied Mathematics, 1991.

Abdi, Herve, Wynne W. Chin, Vincenzo Esposito Vinzi, Giorgio Russolillo, and Laura Trinchera, eds. New Perspectives in Partial Least Squares and Related Methods. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8283-3.

Ipsen, Ilse C. F. Numerical matrix analysis: Linear systems and least squares. Philadelphia: Society for Industrial and Applied Mathematics, 2009.

Ogundare, John Olusegun. Understanding Least Squares Estimation and Geomatics Data Analysis. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119501459.

Hulland, John. Use of Partial Least Squares (PLS) in strategic management research. London, Canada: WesternBusiness School, University of Western Ontario, 1995.

Abdi, Hervé, Vincenzo Esposito Vinzi, Giorgio Russolillo, Gilbert Saporta, and Laura Trinchera, eds. The Multiple Facets of Partial Least Squares and Related Methods. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40643-5.

Duan, Naihua. A bias bound for least squares linear regression. Santa Monica, CA: RAND, 1991.

Duan, Naihua. The adjoint projection pursuit regression. Santa Monica, Calif: Rand, 1991.

Subset selection in regression. 2nd ed. Boca Raton: Chapman & Hall/CRC, 2002.

J, Miller Alan. Subset selection in regression. London [England]: Chapman and Hall, 1990.

Draper, Norman Richard. Rationalization of the "Alphabetic-optimal" and "Variance plus bias" approaches to experimental design. Toronto: University of Toronto, Dept. of Statistics, 1989.

Saleh, A. K. Md Ehsanes. On shrinkage least squares estimation in a parallelism problem. Ottawa, Ont., Canada: Dept. of Mathematics and Statistics, Carleton University, 1985.

Blais, J. A. R. Least-squares block adjustment of stereoscopic models and error analysis. Calgary, Alta: University of Calgary, Division of Surveying Engineering, 1985.

Jiang, Bo-nan. Least-squares finite element method for fluid dynamics. Cleveland, Ohio: Institute for Computational Mechanics in Propulsion, 1989.

Salzmann, Martin. Least squares filtering and testing for geodetic navigation applications. Delft, Netherlands: Nederlandse Commissie voor Geodesie, 1993.

Catrien C. J. H. Bijleveld. Exploratory linear dynamic systems analysis. Leiden, Netherlands: DSWO Press, University of Leiden, 1989.

Gauss, Carl Friedrich. Theory of the combination of observations least subject to error: Part one, part two, supplement = Theoria combinationis observationum erroribus minimus obnoxiae : pars prior, pars posterior, supplementum. Philadelphia: Society for Industrial and Applied Mathematics, 1995.

1969-, Ye Hao, ed. Zhu yuan fen xi yu pian zui xiao er cheng fa. Beijing: Qing hua da xue chu ban she, 2012.

D, Ghilani Charles, ed. Adjustment computations: Statistics and least squares in surveying and GIS. 3rd ed. New York: John Wiley & Sons, 1997.

Huffel, Sabine. Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications. Dordrecht: Springer Netherlands, 2002.

name, No. Total least squares and errors-in-variables modeling: Analysis, algorithms and applications. Dordrecht: Kluwer Academic, 2001.

Jiang, Bo-Nan. The least-squares finite element method: Theory and applications in computational fluid dynamics and electromagnetics. Berlin: Springer, 1998.

Rousseeuw, Peter J. Robust regression and outlier detection. New York: Wiley, 1987.

Srivastava, Virendra K. Seemingly unrelated regression equations models: Estimation and inference. New York: Dekker, 1987.

Dijkstra, Taeke Klaas. Latent variables in linear stochastic models: Reflections on "maximum likelihood" and "partial least squares" methods. 2nd ed. Amsterdam: Sociometric Research Foundation, 1985.

Daniel, Cuthbert. Fitting equations to data: Computer analysis of multifactor data, second edition. New York: Wiley, 1999.

Finite algorithms in optimization and data analysis. Chichester: Wiley, 1985.

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.

A primer on partial least squares structural equation modeling (PLS-SEM) - 2. edición. SAGE Publications, 2017.

Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2013.

(Editor), Vincenzo Esposito Vinzi, Wynne W. Chin (Editor), Joerg Henseler (Editor), and Huiwen Wang (Editor), eds. Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Fields (Springer Handbooks of Computational Statistics). Springer, 2008.

Rouleau, Jessica Leigh. Partial least squares modeling of keratinocyte differentiation through the integration of gene expression profiles and flow cytometry analysis. 2007.

United States. National Aeronautics and Space Administration., ed. Subspace based signal analysis of partially polarized light reflected by plant canopies. [Washington, DC: National Aeronautics and Space Administration, 1996.

A, Rebnord D., and Langley Research Center, eds. Analytic semigroups: Applications to inverse problems for flexible structures. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

Witkov, Carey, and Keith Zengel. Chi-Squared Data Analysis and Model Testing for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198847144.001.0001.

Vincenzo, Esposito Vinzi Wynne W. Chin J. Rg Henseler. Handbook of Partial Least Squares. Springer, 2010.