DOE
■Grove, D. M., and T. P. Davis. Engineering Quality Experimental Design. ISBN 0-582-06687-5.
■Cornell, John A. How to apply Response Surface Methodology. American Society for Quality Control Statistics Division, Volume 8. ISBN 0-87389-066-3.
■Myers, Raymond H., and Douglas C. Montgomery. Response Surface Methodology. Wiley Inter Science. ISBN 0-471-58100-3.
■Box, G. E. P., and D. W. Behnken. Some New Three Level Designs for the Study of Quantitative Variables. Technometrics, Vol. 2, No. 4, November 1960.
■Gentle, James E., Random Number Generation and Monte Carlo Methods. Springer-Verlag, 1998.
■Greenwood, W.H. and Chase, K.W., A New Tolerance Analysis Method for Designers and Manufacturers, ASME Journal of Engineering for Industry, Vol. 109, pp. 112-116, May 1987.
Python
■Beazley, David M., Python Essential Reference. ISBN 0-735-70901-7.
■Lutz, Mark. Python Pocket Reference. ISBN 0-596-00189-4.
■To run Python you can run from adams2024_1 environment 'adams2024_1 -c python'
Regression/RSM
■Draper, Norman R., and Harry Smith. Applied Regression Analysis. John Wiley & Sons, 1998. ISBN 0-471-17082-8.
■Box, George E. P., and Norman Richard Draper. Empirical Model-Building and Response Surfaces. John Wiley & Sons, 1987. ISBN 0-471-81033-9.
■Montgomery, Douglas C., and Raymond H. Myers. Response Surface Methodology: Process and Product in Optimization Using Designed Experiments. John Wiley & Sons, 1995. ISBN 0-471-58100-3.
Statistics/Distributions
XML
■Eckstein, Robert, XML Pocket reference. ISBN 1-56592-709-5.
■Harold, Elliotte Rusty, and W. Scott Means, XML in a Nutshell. ISBN 0-596-00058-8.