Author of this section: Dr. Christof Luchsinger

BHH is a main reference. BHH mainly treats industrial applications and has not been revised since 1978 (sad). The famous Taguchi-Methode is missing! Up to date are H, LA, LW and M. In H all main methods are described in SAS too. CC treats more agricaltural and biological applications. Riedwyl/Ambühl treats Data-analysis focussing on regression methods; the book is written from an applied point of view and well understandable - in German.

• Experimental Designs by W.G. Cochran and G.M. Cox (CC), John Wiley, 1957
• Planning of Experiments by D.R. Cox (C), John Wiley, 1992
• Statistics for Experimenters by G.E.P. Box, W.G. Hunter and J.S. Hunter (BHH), John Wiley, 1978
• Design and Analysis of Experiments by D.C. Montgomery (M), John Wiley, 1997
• Design of Experiments by T.J. Lorenzen and V.L. Anderson (LA), Marcel Dekker, 1993
• Fundamental Concepts in the Design of Experiments by C.R. Hicks (H), Oxford University Press, New York, 1993
• Quality through Design: Experimental Design, Off-Line Quality Control, and Taguchi's Contributions by N. Logothetis and H.P. Wynn (LW). Clarendon Press, Oxford, 1994

Robust aspects of the design of experiments are found in FN, Gz and LNW.

• Robust Parameter Design with Uncontrolled Noise Variables by A. Freeny and V.J. Nair (FN) in Statistica Sinica 2, 1992, 313-334.
• A Review of Robust Process Design Approaches by Y.L. Grize (Gz) in J. of Chemometrics 9, 1995, 239-262
• Graphical methods for Robust Design with Dynamic Characteristics by M. Lunani, V.J. Nair and G. Wassermann (LNW) in Journal of Quality Technology, Vol 29, 1997, 327-338

The Taguchi-Method is treated in Ta and N.

• The System of Experimental Design by G. Taguchi (Ta), Unipub/Kraus International Publications, White Plains N.Y., 1987
• Taguchi's Parameter Design: A Panel Discussion" by V.N. Nair (Na) in Technometrics Vol. 34, 1992, 127-161
• Parameter Design for Signal-Response Systems: A Different Look at Taguchi's Dynamic Parameter Design" by A. Miller and C.F.J. Wu (MiWu) in Statistical Science Vol. 11, 1996, 122-136

Response Surface is treated in MM.

• Response Surface Methodology: Process and Product Optimization Using Designed Experiments by R.H. Myers and D.C. Montgomery (MM), John Wiley & Sons, New York, 1995

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