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In this paper, we have established a new framework of truncated inverse sampling for estimating mean values of non-negative random variables such as binomial, Poisson, hyper-geometrical, and bounded variables.
C. J. Clopper and E. S. Pearson, “The use of confidence or fiducial limits illustrated in the case of the binomial,” Biometrika
1934
Earlier work this paper cites.
F. Garwood, “Fiducial limits for the Poisson distribution,” Biometrika
1936
Earlier work this paper cites.
J. B. S., Haldane, “A labour-saving method of sampling,” Nature
1945
Earlier work this paper cites.
J. B. S., Haldane, “On a method of estimating frequencies,” Biometrika
1945
Earlier work this paper cites.
W. Hoeffding, “Probability inequalities for sums of bounded variables,” J. Amer. Statist. Assoc
1963
Cited alongside, same era.
P. Dagum, R. Karp, M. Luby and S. Ross, “An optimal algorithm for Monte Carlo estimation,” SIAM J. Comput
2000
Cited alongside, same era.
J. Cheng, “Sampling algorithms for estimating the mean of bounded variables,” Comput. Statist
2001
Cited alongside, same era.
2007
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2008
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2008
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