Mackay, D.J.C. 159 Mahadevan, S. 13, 14 Mallows, C.L. 256 Maringer, D. 105, 122 Marron, J.S. 181 Marx, B.D. 140, 219, 220 Matheron, G. 145 Matsuoka, T. 17 McKay, M.D. 13, 25, 49, 199, 201 Meernik, P. 14 Meng, Y. 93 Meyer, ...
Finally, the design problem of choosing additional sample locations after an initial set has already been sampled is discussed. A criterion is provided to help answer that question.
The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS.
Praise for the First Edition: "If you ... want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library." —Journal of the American Statistical ...
This book explains design and analysis of computer experiments and its importance from an introductory level.
This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses.
Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice.
Neural Comput 13(5):1103–1118 Tajbakhsh DS, Del Castillo E, Rosenberger JL (2014) A fully Bayesian approach to sequential ... AIAA J 46(5):1240–1252 Toropov VV, Schramm U, Sahai A, Jones R, Zeguer T (2005) Design optimization and ...
This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment.
The book is a joy to read. Everyone who practices or teaches DOE should read this book.