Robustness of a multiple ranking procedure: a monte carlo experiment illustrating design and analysis techniques

References

• Bechhofer , R.E. 1958 . A sequential multiple-decision procedure for selecting the best one of several normal populations with a common unknown variance, and its use with various experimental designs . Biometrics , 14 : 408 – 429 .
   Web of Science ®Google Scholar
• Bechhofer , R.E. 1970 . Correction note: An undesirable feature of a sequential multiple-decision procedure for selecting the best one of several normal populations with a common unknown variance . Biometrics , 26 ( 2 ) : 347 – 349 .
   Web of Science ®Google Scholar
• Bechhofer , R.E. and Blumenthal , S. 1972 . A sequential multiple-decision procedure for selecting the best one of several normal populations with a common unknown variance, II: Monte Carlo sampling results and new computing formulae . Biometrics , 18 : 52 – 67 .
   Google Scholar
• Box , G.E.P. and Hunter , J.S. 1961 . The 2k−p fractional factorial designs, Part I . Technometrics , 3 ( 3 ) : 311 – 351 .
   Web of Science ®Google Scholar
• Gross , A.M. 1976 . Confidence interval robustness with long-tailed symmetric distributions . J. Amer. Statist. Assoc. , 71 : 409 – 416 .
   Web of Science ®Google Scholar
• Johnston , J. 1963 . Econometric Methods , New York : McGraw-Hill Book Company, Inc .
   Google Scholar
• Kleijnen , J.P.C. 1974/1975 . Statistical Techniques in Simulation , Vol. I, II , New York : Marcel Dekker Inc. .
   Google Scholar
• Lewis , P.A.W. , Goodman , A.S. and Miller , J.M. 1969 . A pseudo-random number generator for the system/360 . IBM systems J , 8 ( 2 ) : 136 – 147 .
   Google Scholar
• Scheffe , H. 1969 . The Analysis of Variance , New York : John Wiley & Sons, Inc. .
   Google Scholar