On the problem of selecting the best population in life testing models

Bibliography

• Abughalous , M.M. 1988 . “ On selection the best coordinate in a multi-variate normal distribution ” . In Dept. of Math., Statist, and Comp. Scie , Chicago, Illinois : University of Ilinois . Technical Report #88-12
   Google Scholar
• Abughalous , M.M. and Bansal , N.K. 1991 . On the minimaxity of the natural decision rule for selecting the best variate in a multivariate normal population . Commun. Statist. - Theory Meth , 20 ( 5 & 6 ) : 1557 – 1567 .
   Web of Science ®Google Scholar
• Abughalous , M.M. and Miescke , K.J. 1989 . On selecting the largest success probability under unequal sample size . J. Statist. Plan. Infer , 21 ( 5 & 6 ) : 53 – 68 .
   Google Scholar
• Gupta , S.S. 1963 . On a selection and ranking procedure for gamma populations . Ann. Inst. Statist. Math , 14 ( 5 & 6 ) : 199 – 216 .
   Google Scholar
• Gupta , S.S. and Hsiao , P. 1983 . Empirical Bayes rules for selecting good populations . J. Statist. Plan. Infer , 8 ( 5 & 6 ) : 87 – 101 .
   Google Scholar
• Gupta , S.S. and Liang , T. 1987 . On Bayes selection rules for the best exponential population with type-I censored data , Purdue University . Technical Report #87-4, Department of Statistics
   Google Scholar
• Gupta , S.S. and Miescke , K.J. 1988 . On the problem of finding the largest normal mean under hetroscedasticity , Edited by: Gupta , S.S. and Berger , J.O. Vol. 2 , 37 – 49 . Berlin, New York : Springer-Verlag . Statistical Decision Theory and Related Topics IV
   Google Scholar
• Kingston , J.V. and Patel , J.K. 1980 . Selecting the best one of several Weibull populations . Commun. Statist. - Theory Meth , 9 ( 4 ) : 383 – 398 .
   Web of Science ®Google Scholar
• Ko , J.H. and Yum , B.J. 1991 . The chi-square approximation approach to ranking and selection procedures under type-II censoring . Commun. Statist. - Theory Meth , 20 ( 3 ) : 1127 – 1147 .
   Web of Science ®Google Scholar
• Ofosu , T.B. 1972 . A minimax procedure for selecting the population with the largest(small)scale parameter . Calcutta Statist. Bull. Assoc , 21 ( 3 ) : 143 – 157 .
   Google Scholar