Quantile estimation from grouped data: the cell midpoint

References

• David , H. A. 1971 . Order Statistics , New York : John Wiley and Sons, Inc. .
   Google Scholar
• David , H. A. and Mishriky , R. S. 1968 . Order statistics for discrete populations and for grouped samples . J. Amer. Statist. Assoc. , 63 : 1390 – 1398 .
   Web of Science ®Google Scholar
• Gibbons , J. D. 1971 . Nonparametric Statistical Inference , New York : McGraw-Hill Book Co. .
   Google Scholar
• Goodman , A. S. , Lewis , P. A. W. and Robbins , H. E. 1972 . Simultaneous estimation of large numbers of extreme quantiles in simulation experiments Unpublished
   Google Scholar
• Hodges , J. L. and Lehmann , E. L. 1956 . Proc. 3rd Berkeley Symp. Math. Statist. Prob. 1 . Two approximations to the Robbins-Monro Process . 1956 . pp. 95 – 104 . Los Angeles, Berkeley : Univ. of California Press .
   Google Scholar
• lglehart , D. L. 1976 . Simulating stable stochastic systems, IV: quantile estimation . J. Assoc. Comput. Mach. , 23 : 347 – 360 .
   Web of Science ®Google Scholar
• Lewis , P. A. W. 1972 . Proc. Comp. Sci. Statist.: 6th Ann. Symp. Interface . Large scale computer-aided statistical mathematics . 1972 . North Hollywood, California : Western Periodicals Co. .
   Google Scholar
• Robbins , H. and Monro , S. 1951 . A stochastic approximation method . Ann. Math. Statist. , 22 : 400 – 407 .
   Google Scholar
• Schmeiser, B. W. (1975). On Monte Carlo Distribution sampling, with application to the component randomization test. Unpublished Ph.D. dissertation, School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Ga.
   Google Scholar