Skip to main content
Log in

The future occurrence of records

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

Summary

The occurrence of future record values based on data from a sequence of independent, identically distributed random variables is considered. Two situations are analysed, namely (i) where only the firstm record observations have been noted, and (ii) where all the observations have been noted up to themth, record. Tolerance regions and Bayesian predictive distributions are derived for the increase in size of the (m+r)th record value over the observedmth record value for two exponential models. Predictive distributions are also given for the additional number of observations required after themth record value until the (m+1)th record value occurs.

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. Abramowitz, M. and Stegun, I. (1972).Handbook of Mathematical Functions, Dover, New York.

    MATH  Google Scholar 

  2. Ahsanullah, M. (1978). Record values and the exponential distribution,Ann. Inst. Statist. Math.,30, 429–433.

    Article  MathSciNet  Google Scholar 

  3. Ahsanullah, M. (1980). Linear prediction of record values for the two parameter exponential distribution,Ann. Inst. Statist. Math.,32, 363–368.

    Article  MathSciNet  Google Scholar 

  4. Aitchison, J. and Dunsmore, I. R. (1975).Statistical Prediction Analysis, Cambridge University Press, Cambridge.

    Book  Google Scholar 

  5. Chandler, K. N. (1952). The distribution and frequency of record values,J. R. Statist. Soc., B.14, 220–228.

    MathSciNet  MATH  Google Scholar 

  6. Foster, F. C. and Stuart, A. (1954). Distribution-free tests in time-series based on the breaking of records.J. R. Statist. Soc., B,16, 1–22.

    MathSciNet  MATH  Google Scholar 

  7. Galambos, J. (1978).The Asymptotic Theory of Extreme Order Statistics, Wiley, New York.

    MATH  Google Scholar 

  8. Renyi, A. (1962). Théorie des éléments saillants d'une suite d'observations,Colloq. Combinatorial Meth. Prob. Theory, Aarhus University, 104–115.

  9. Resnick, S. I. (1973a). Limit, laws for record values,J. Stochastic Processes and their Appl. 1, 67–82.

    Article  MathSciNet  Google Scholar 

  10. Resnick, S. I. (1973b). Record values and maxima,Ann. Prob.,1, 650–662.

    Article  MathSciNet  Google Scholar 

  11. Shorrock, R. W. (1972a). A limit theorem for inter-record times,J. Appl. Prob.,9, 219–223.

    Article  MathSciNet  Google Scholar 

  12. Shorrock, R. W. (1972b). On record values and record times,J. Appl Prob.,9, 316–326.

    Article  MathSciNet  Google Scholar 

  13. Tata, M. N. (1969). On outstanding values in a sequence of random variables,Zeit. Wahrscheinlichkeitsth.,12, 9–20.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Dunsmore, I.R. The future occurrence of records. Ann Inst Stat Math 35, 267–277 (1983). https://doi.org/10.1007/BF02480982

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02480982

Key words

Navigation