A Tightened m-Level Continuous Sampling Plan for Markov-Dependent Production Processes

References

• Blackwell , M. T.R. , “ The Effect of Short Run Production Runs on CSP-1 ,” Technometrics 19 , 259 – 263 ( 1977 ).
   Web of Science ®Google Scholar
• Broadbent , S. R. , “ The Inspection of a Markov Process ,” Journal of The Royal Statistical Society 20 , 111 – 119 ( 1958 ).
   Google Scholar
• Derman , C , Johns , M. V. , and Lieberman , G. J. , “ Continuous Sampling Procedures Without Control ,” Annals of Mathematical Statistics 30 , 1175 – 1191 ( 1969 ).
   Google Scholar
• Derman , C , Littauer , S. , and Solomon , H. , “ Tightened Multilevel Continuous Sampling Plans ,” Annals of Mathematical Statistics 28 , 395 – 404 ( 1957 ).
   Google Scholar
• Dodge , H. F. , “ A Sampling Inspection Plan for Continuous Production ,” Annals of Mathematical Statistics 14 , 264 – 279 ) ( 1943 ).
   Google Scholar
• Dodge , H. F. , “ Sampling Plans for Continuous Production ,” Industrial Quality Control , 5 – 9 ( 1947 ).
   Google Scholar
• Elfving , G. , “ The AOQL of Multilevel Continuous Sampling Plans ,” Zeitwahrscheinlichkeitch , 70 – 87 ( 1962 ).
   Google Scholar
• Feller , W. , An Introduction to Probability Theory and Its Applications, Vol. 1 , John Wiley and Sons , New York ( 1968 ).
   Google Scholar
• Lieberman , G. J. , “ A Note on Dodge's Continuous Inspection Plan ,” Annals of Mathematical Statistics 24 , 480 – 484 ( 1953 ).
   Google Scholar
• Preston , P. F. , “ An EmpiricalBayes Problem with a Markovian Parameter ,” Biometrika 58 , 535 – 543 ( 1971 ).
   Web of Science ®Google Scholar
• Rajarshi , M. B. , “ Some Statistical and Probabilities Studies of Dependent Random Variables ,” PhD thesis (unpublished), Unversity of Poona , India .
   Google Scholar
• Sackrowitz , H. , “ A Note on Unrestricted AOQL's ,” Journal of Quality Technology 7 , 77 – 86 ( 1975 ).
   Google Scholar
• Wald , A. and Wolfowitz , J. , “ Sampling Inspection Plans for Continuous Production Which Insure a Prescribed Limit on the Outgoing Quality ,” Annals of Mathematical Statistics 16 , 3049 ( 1945 ).
   Google Scholar