Skip to main content
Log in

On the error evaluation of the joint normal approximation for sample quantiles

  • Published:
Annals of the Institute of Statistical Mathematics Aims and scope Submit manuscript

Summary

This paper is concerned with non-asymptotic error evaluation for the uniform (or (B) d -type) joint normal approximation fork sample quantiles. The evaluation generalizes Reiss’ single sample quantile case in [6], where the type of approximation is a little weaker than that of the present article.

Some improvements of the previous results [2] are also given for the uniform asymptotic joint normality of increasing number of sample quantiles as the sample size increases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. David, F. N. and Johnson, N. L. (1954). Statistical treatment of censored data Part I, Fundamental Formulae,Biometrika,41, 228–240.

    Article  MathSciNet  Google Scholar 

  2. Ikeda, S. and Matsunawa, T. (1972). On the uniform asymptotic joint normality of sample quantiles,Ann. Inst. Statist. Math.,24, 33–52.

    Article  MathSciNet  Google Scholar 

  3. Kraft, O. (1969). A note on exponential bounds for binomial probabilities,Ann. Inst. Statist. Math.,21, 219–220.

    Google Scholar 

  4. Matsunawa, T. (1973). Uniform asymptotic joint normality of sample quantiles in censored cases,Ann. Inst. Statist. Math.,25, 261–278.

    Article  MathSciNet  Google Scholar 

  5. Matsunawa, T. (1975). Some inequalities based on inverse factorial series,Research Memorandum No. 82, The Institute of Statistical Mathematics.

  6. Reiss, R. D. (1974). On the accuracy of the normal approximation for quantiles,Ann. Prob.,2, 741–744.

    MathSciNet  Google Scholar 

Download references

Authors

Additional information

The institute of statistical mathematics

About this article

Cite this article

Matsunawa, T. On the error evaluation of the joint normal approximation for sample quantiles. Ann Inst Stat Math 27, 189–199 (1975). https://doi.org/10.1007/BF02504639

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02504639

Keywords

Navigation