Chebyshev Inequality with Estimated Mean and Variance

John G. Saw, Mark C. K. Yang, Tse Chin Mo

The American Statistician · 1984 · 203 citations · 12 references

Concepts

Abstract

Abstract Chebyshev's inequality is investigated when the population mean and variance are estimated from a sample. The necessary modification to the inequality is simple and is actually valid when (a) the population moments do not exist and (b) the sample is exchangeably distributed. The latter case would include, for example, a sample taken without replacement from a finite population and the independent and identically distributed case.

References

12