Books on the topic 'Least squares'

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1

1938-, Hanson Richard J., ed. Solving least squares problems. Philadelphia: SIAM, 1995.

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2

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

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3

Hough, Patricia D. Stable and efficient solution of weighted least-squares problems with applications in interior point methods. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.

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4

United States. National Aeronautics and Space Administration., ed. On recursive least-squares filtering algorithms and implementations. Los Angeles: University of California, 1990.

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5

Bartlett, Dana P. General principles of the method of least squares. Mineola, NY: Dover, 2006.

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6

United States. National Aeronautics and Space Administration., ed. On recursive least-squares filtering algorithms and implementations. Los Angeles: University of California, 1990.

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7

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.

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8

Gunzburger, Max D., and Pavel B. Bochev. Least-Squares Finite Element Methods. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b13382.

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9

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.

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10

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

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11

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

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12

Latan, Hengky, Joseph F. Hair,, and Richard Noonan, eds. Partial Least Squares Path Modeling. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37772-3.

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13

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

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14

missing], [name. Least squares support vector machines. Singapore: World Scientific, 2002.

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15

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

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16

Björck, Åke. Numerical methods for least squares problems. Philadelphia: SIAM, 1996.

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17

Wu, Sean F. The Helmholtz Equation Least Squares Method. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-1640-5.

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18

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.

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19

Chavent, Guy. Nonlinear Least Squares for Inverse Problems. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-2785-6.

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20

Jiang, Bo-nan. The Least-Squares Finite Element Method. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03740-9.

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21

M, Wolfe Claire, and United States. National Bureau of Standards., eds. An interactive nonlinear least squares program. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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22

M, Wolfe Claire, and United States. National Bureau of Standards., eds. An interactive nonlinear least squares program. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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23

Radhakrishna, Rao C. Linear models: Least squares and alternatives. New York: Springer, 1995.

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24

M, Wolfe Claire, and United States. National Bureau of Standards, eds. An Interactive nonlinear least squares program. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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25

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

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26

Kirkeby, O. Wavefront reconstruction using a least squares approach. Southampton, England: University of Southampton, Institute of Sound and Vibration, 1992.

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27

Franke, Richard H. Repeated knots in least squares multiquadric functions. Monterey, Calif: Naval Postgraduate School, 1994.

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28

Drăgan, Irinel. New mathematical properties of the least square value. Arlington, Tex: University of Texas at Arlington, Dept. of Mathematics, 1996.

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29

Jiang, Bo-Nan. Least-squares finite elements for Stokes problem. Cleveland, Ohio: ICOMP, 1988.

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30

Anciant, M. Optimisation methods for solving separable nonlinear least squares problems. Southampton, England: University of Southampton, Institute of Sound and Vibration Research, 1993.

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31

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

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32

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

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33

Leland, Ora Miner. Practical Least Squares. Kessinger Publishing, LLC, 2007.

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34

Leland, Ora Miner. Practical Least Squares. Kessinger Publishing, LLC, 2007.

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35

Kurata, Hiroshi, T. Kariya, and Takeaki Kariya. Generalized Least Squares. Wiley & Sons, Incorporated, John, 2004.

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36

KARIYA, T. GENERALIZED LEAST SQUARES. JOHN WILEY AND SONS LTD, 2004.

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37

Kurata, Hiroshi, and Takeaki Kariya. Generalized Least Squares. Wiley & Sons, Incorporated, John, 2007.

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38

Kurata, Hiroshi, and Takeaki Kariya. Generalized Least Squares. Wiley & Sons, Incorporated, John, 2004.

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39

Least Squares Support Vector Machines. World Scientific Publishing Co Pte Ltd, 2002.

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40

Farebrother. Linear Least Squares Computations. CRC Press LLC, 2018.

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41

Farebrother. Linear Least Squares Computations. CRC Press LLC, 2018.

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42

Hilbe, Joseph M., and Justine Shults. Quasi-Least Squares Regression. Taylor & Francis Group, 2014.

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43

Hult, G. Thomas M. Partial Least Squares Strukturgleichungsmodellierung. 2017.

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44

Farebrother. Linear Least Squares Computations. CRC Press LLC, 2018.

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45

Farebrother. Linear Least Squares Computations. CRC Press LLC, 2018.

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46

Hilbe, Joseph M., and Justine Shults. Quasi-Least Squares Regression. Taylor & Francis Group, 2014.

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47

Shults, Justine. Quasi-Least Squares Regression. Taylor & Francis Group, 2014.

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48

Solving Least Squares Problems. 1995.

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49

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

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50

Huffel, Sabine Van, and Joos Vandewalle. The Total Least Squares Problem: Computational Aspects and Analysis (Frontiers in Applied Mathematics). Society for Industrial Mathematics, 1987.

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