ISSN 0266-4763 (Print); ISSN 1360-0532 (Online)
Publisher: Taylor and Francis Ltd
Identification of factors influencing dispersion in split-plot experiments
Arvidsson, P. Kammerlind, A. Hynen, B. Bergman, M.
Statistics for discovery
Why is Six Sigma so successful?
SPC—a team effort for process improvement across four Area Control Centres
R. G. Chambers, J. L. Piggott, S. Y. Coleman, P.
SPC as a tool for creating a successful business measurement framework
Y. Coleman, G. Arunakumar, F. Foldvary, R. Feltham, S.
Improving communication via quantitative management
Coleman, David Bruce, Shirley Y.
SPC—making it work for the gas transportation business
Y. Coleman, A. Gordon, P. R. Chambers, S.
Towards the implementation of a universal control chart and estimation of its average run length using a spreadsheet: an artificial neural network is employed to model the parameters in a special case
Cox, M. A. A.
Multidimensional scaling used in multivariate statistical process control
Cox, Trevor F.
Observable trend-projecting state-space models
Godolphin, E. J.
A pragmatic approach to experimental design in industry
Goh, T. N.
EWMA and industrial applications to feedback adjustment and control
Henderson, G. Robin
The statistical monitoring of a complex manufacturing process
Weighell, E. B. Martin, A. J. Morris, M.
Opportunities and challenges for industrial statisticians
Montgomery, Douglas C.
Applying designed experiments to optimize the performance of genetic algorithms used for scheduling complex products in the capital goods industry
Pongcharoen, D. J. Stewardson, C. Hicks, P. M. Braiden, P.
Control charts based on linear combinations of order statistics
A. H. Elamir, Allan H. Seheult, Elsayed
Using the Summed Rank Cusum for monitoring environmental data from industrial processes
Coleman, Dave Stewardson, Shirley
The dangers posed by saddle points, and other problems, when using central composite designs
Stewardson, David Porter, Tony Kelly, Dave
Building a statistical model to predict reactor temperatures
Wilson, Carl Scarrott, Granville Tunnicliffe
Regression coefficient analysis for correlated binomial outcomes
Ahn, Seung-Ho Kang, Chul
Broyles, Leann Myers, Stephanie T.