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Sequential Analysis
Design Methods and Applications
Volume 13, 1994 - Issue 1
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Original Articles

The Behavior of and Extreme— Value Control Charts in the Case of Mixture Alternatives

The Case of Mixture Alternatives

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Pages 35-51 | Published online: 29 Mar 2007

References

  • Balakrishnan , N. and Kocherlakota , S. 1986 . “Effects of Nonnormality on Charts Single Assignable Cause Model” . The Indian Journal of Statistics , 48 : 439 – 444 .
  • Burr , I. W. 1967 . “The Effect of Non—Normality on Constants for and R Charts” . Industrial Quality Control , 23 : 563 – 569 .
  • Chan , L. K. , Hapuarachchi , K. P. and Macpherson , B. D. 1988 . “Robustness of and R Charts” . IEEE Transactions on Reliability , 37 : 117 – 123 .
  • Hyrenius , H. “Sampling Distributions from a Compound Normal Parent Population” , 180 – 187 . Skandinavisk Aktuarietidskrift .
  • Langenberg , P. and Iglewicz , B. 1986 . “Trimmed Mean and R Charts” . Journal of Quality Technology , 18 : 152 – 161 .
  • Rocke , D. M. 1989 . “Robust Control Charts” . Technometrics , 31 : 173 – 184 .
  • Schilling , E. G. and Nelson , P. R. 1976 . “The Effect of Non—Normality on the Control Limits of Charts” . Journal of Quality Technology , 8 : 183 – 188 .
  • Subrahmaniam , K. 1972 . “On the Quadratic Forms from Mixtures of Two Normal Populations” . South African Statistical journal , 6 : 103 – 120 .

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