Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building. Questo articolo non è disponibile.Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building

Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for ``statistical thinking'' by using examples drawn from actual case studies.

George E.P. Box is R.A. Fisher Professor of Statistics at the University of Wisconsin. He received the degrees of Ph.D. and D.Sc. in mathematical statistics from the University of London and an Honorary D.Sc. from the University of Rochester. He had many years of experience as a practicing statistician in the British Army and later in Imperial Chemical Industries, Ltd., and has served as a consultant to industry and government. He is a Fellow of the American Academy of Arts and Sciences, and a recipient of the Wilks memorial medal of the American Statistical Association, the Shewhart medal of the American Society for Quality Control, and the Guy medal in silver of the Royal Statistical Society. He is an author of over 100 published papers and of the following books: Time Series Analysis Forecasting and Control (with G. M. Jenkins); Bayesian Inference in Statistical Analysis (with G. C. Tiao); and Evolutionary Operation (with N. R. Draper).