Books on the topic 'Robust methods'

1944-, McKean Joseph W., ed. Robust nonparametric statistical methods. London: Arnold, 1998.

Hackbusch, Wolfgang, ed. Robust Multi-Grid Methods. Wiesbaden: Vieweg+Teubner Verlag, 1989. http://dx.doi.org/10.1007/978-3-322-86200-6.

Heritier, Stephane, Eva Cantoni, Samuel Copt, and Maria-Pia Victoria-Feser. Robust Methods in Biostatistics. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470740538.

Andersen, Robert. Modern methods for robust regression. Thousand Oaks, CA: Sage Pub., 2006.

Modern methods for robust regression. Los Angeles: Sage Publications, 2008.

1965-, Picek Jan, ed. Robust statistical methods with R. Boca Raton: Chapman & Hall/CRC, 2006.

JureÚcková, Jana. Robust statistical methods with R. Boca Raton, FL: Chapman & Hall/CRC, 2006.

Andersen, Robert. Modern Methods for Robust Regression. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2008. http://dx.doi.org/10.4135/9781412985109.

Svetozar, Margenov, ed. Robust algebraic multilevel methods and algorithms. Berlin: Walter De Gruyter, 2009.

Nordhausen, Klaus, and Sara Taskinen, eds. Modern Nonparametric, Robust and Multivariate Methods. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22404-6.

Liu, Regina Y., and Joseph W. McKean, eds. Robust Rank-Based and Nonparametric Methods. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39065-9.

Petersen, Ian R., Valery A. Ugrinovskii, and Andrey V. Savkin. Robust Control Design Using H-∞ Methods. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0447-6.

Todorov, Valentin. Multivariate Robust Statistics: Methods and Computation. Saarbrücken, Germany: Südwestdeutscher Verlag für Hochschulschriften, 2009.

Mueller, Andreas. Recent advances in robust control: Novel approaches and design methods. Rijeka, Croatia: InTech, 2011.

Theory and applications of recent robust methods. Basel: Birkauser Verlag, 2005.

C, Patton Peter, and Jayaswal Bijay K. 1949-, eds. Taguchi methods and optimization for robust software. Upper Saddle River, N.J: Prentice Hall, 2007.

Hubert, Mia, Greet Pison, Anja Struyf, and Stefan Van Aelst, eds. Theory and Applications of Recent Robust Methods. Basel: Birkhäuser Basel, 2004. http://dx.doi.org/10.1007/978-3-0348-7958-3.

Turner, Matthew C., and Declan G. Bates, eds. Mathematical Methods for Robust and Nonlinear Control. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84800-025-4.

Subir, Chowdhury, and Taguchi Shin, eds. Robust engineering. New York: McGraw-Hill, 2000.

Lempert, Robert J. New methods for robust science and technology planning. Santa Monica, CA: RAND, 1998.

Lottes, James. Towards Robust Algebraic Multigrid Methods for Nonsymmetric Problems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56306-0.

Rieder, Helmut, ed. Robust Statistics, Data Analysis, and Computer Intensive Methods. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2380-1.

Petersen, Ian R. Robust Control Design Using H-∞%x; Methods. London: Springer London, 2000.

C, Turner Matthew, and Bates Declan, eds. Mathematical methods for robust and nonlinear control: EPSRC Summer School. Berlin: Springer, 2007.

Bunke, Helga, and Olaf Bunke, eds. Statistical Methods of Model Building: V2. Nonlinear Regression, Functional Relations and Robust Methods. Chichester, New York, USA: John Wiley & Sons Ltd, 1989.

H, Park Sung. Robust design and analysis for quality engineering. London: Chapman & Hall, 1996.

Shevlyakov, Georgy L. Robustness in data analysis: Criteria and methods. Utrecht: VSP, 2002.

Foiaş, Ciprian. Robust control of infinite dimensional systems: Frequency domain methods. London: Springer, 1995.

Dragan, Vasile, Toader Morozan, and Adrian-Mihail Stoica. Mathematical Methods in Robust Control of Linear Stochastic Systems. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8663-3.

Robuste Schätzung von ARMA-Modellen unter Verwendung von robust geschätzten Autokovarianzen. Frankfurt am Main: P. Lang, 1994.

1956-, Creveling Clyde M., ed. Engineering methods for robust product design: Using Taguchi methods in technology and product development. Reading, Mass: Addison-Wesley Pub. Co., 1995.

Ueno, Kenzo. Company-wide implementations of robust-technology development. New York: ASME Press, 1997.

Robust reliability in the mechanical sciences. Berlin: Springer, 1996.

Siassakos, Dimitrios, Georgios Attilakos, Gale Alison, Timothy J. Draycott, and Winter Cathy. ROBuST: RCOG operative birth simulation training : Trainer's manual. Cambridge, United Kingdom: Cambridge University Press, 2015.

Toader, Morozan, Stoica Adrian, and SpringerLink (Online service), eds. Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems. New York, NY: Springer Science+Business Media, LLC, 2010.

Dragan, Vasile, Toader Morozan, and Adrian-Mihail Stoica. Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-0630-4.

V, Kokotović Petar, ed. Robust nonlinear control design: State-space and Lyapunov techniques. Boston: Birkhäuser, 1996.

Leeuw, Edith Desirée de. Assumptions, robustness, and estimation methods in multivariate modeling. Amsterdam: TT-publikaties, 1998.

Taguchi on robust technology development: Bringing quality engineering upstream. New York: ASME Press, 1993.

Robust Nonparametric Statistical Methods. CRC Press, 2010.

Stephane, Heritier, ed. Robust methods in biostatistics. Chichester, West Sussex: J. Wiley, 2009.

Cantoni, Eva, Stephane Heritier, Samuel Copt, Maria-Pia Victoria-Feser, and Maria-Pia Victoria-Feser. Robust Methods in Biostatistics. Wiley & Sons, Incorporated, John, 2009.

Martin, R. Douglas, Ricardo A. Maronna, Victor J. Yohai, and Mat�as Salibi�n-Barrera. Robust Statistics: Theory and Methods. Wiley & Sons, Incorporated, John, 2018.

Martin, R. Douglas, Ricardo A. Maronna, Victor J. Yohai, and Mat�as Salibi�n-Barrera. Robust Statistics: Theory and Methods. Wiley & Sons, Incorporated, John, 2018.

Furno, Marilena. Robust methods for macroeconometric models. 1988.

Taguchi Methods for Robust Design. American Society of Mechanical Engineers, 2000.

Wu, Yuin, and Alan Wu. Taguchi Methods for Robust Design. ASME Press, 2000. http://dx.doi.org/10.1115/1.801578.

Robust Design Methods [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.91102.

Clark, Dewey. Robust and Constrained Optimization: Methods and Applications. Nova Science Publishers, Incorporated, 2019.

Engineering Methods for Robust Product Design. Pearson/Education, 2012.