Skip to main content

Prediction of Future Order Statistics from the Uniform Distribution

  • Conference paper
Combining Soft Computing and Statistical Methods in Data Analysis

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 77))

Abstract

In this paper, we use the r smallest Type-II censored order statistics X 1:n  ≤ X 2:n  ≤ ... ≤ X r:n from the uniform distribution to predict the upper bound for the remaining n − r observations. We use a certain statistic based both classical and Bayesian approaches. In order to show the efficiency of the proposed techniques, we point out some numerical illustrations.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abd Ellah, A.H., Sultan, K.S.: Exact Bayesian Prediction of Exponential Lifetime Based on Fixed and Random Sample Sizes. Quality Technology & Quantitative Management 2, 161–175 (2005)

    MathSciNet  Google Scholar 

  2. Adatia, A., Chan, L.K.: Robust Procedures for Estimating the Scale Parameter and Predicting Future Order Statistics of the Weibull Distribution. IEEE Trans. Reliability R-31(5), 491–498 (1982)

    Article  MATH  Google Scholar 

  3. Arnold, B.C., Balakrishnan, N., Nagaraja, H.N.: A First Course in Order Statistics. John Wiley & Sons, New York (1992)

    MATH  Google Scholar 

  4. Balasooriya, U.: A Comparison of the Prediction of Future Order Statistics for the 2-Parameter Gamma Distribution. IEEE Trans. Reliability R-36(5), 591–594 (1987)

    Article  Google Scholar 

  5. Lawless, J.F.: A prediction problem concerning samples from the exponential distribution, with application in life testing. Technometrics 13, 725–730 (1971)

    Article  MATH  Google Scholar 

  6. Lingappaiah, G.: Prediction in exponential life testing. Canad. J. Statist. 1, 113–117 (1973)

    Article  MATH  MathSciNet  Google Scholar 

  7. Lu, H.L.: Prediction Intervals of an Ordered Observation from One-Parameter Exponential Distribution Based on Multiple Type II Censored Samples. J. Chinese Institute of Industrial Engineers 21(5), 494–503 (2004)

    Article  Google Scholar 

  8. Morris, K.W., Szynal, D.: A Goodness-of-Fit Test for the Uniform Distribution Based on a Characterization. J. Math. Sci. 106, 2719–2724 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  9. Nelson, W., Schmee, J.: Prediction Limits for the Last Failure Time of a (Log) Normal Sample from Early Failures. IEEE Trans. Reliability R-30(5), 461–465 (1981)

    Article  MATH  Google Scholar 

  10. Ogunyemi, O.T., Nelson, P.I.: Prediction of Gamma failure times. IEEE Trans. Reliability R-46(3), 400–405 (1997)

    Article  Google Scholar 

  11. Proschan, F.: Theoretical explanation of observed decreasing failure rate. Technometrics 5, 375–383 (1963)

    Article  Google Scholar 

  12. Samuel-Cahn, E.: Two Kinds of Repeated Significance Tests, and Their Application for the Uniform Distribution. Comm. Statist. Simulation Comput. 3(5), 419–431 (1974)

    Article  MathSciNet  Google Scholar 

  13. Sultan, K.S., Abd Ellah, A.H.: Exact prediction intervals for exponential lifetime based on random sample size. Int. J. Comput. Math. 83(12), 867–878 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  14. Steele, M., Chaseling, J.: Powers of Discrete Goodness-of-Fit Test Statistics for a Uniform Null Against a Selection of Alternative Distributions. Comm. Statist. Simulation Comput. 35, 1067–1075 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  15. Wright, W.P., Singh, N.: A Prediction Interval in Life Testing: Weibull Distribution. IEEE Trans. Reliability R-30(5), 466–467 (1981)

    Article  MATH  Google Scholar 

  16. Wu, T.H., Lu, H.L.: Prediction intervals for an ordered observation from the logistic distribution based on censored samples. J. Stat. Comput. Simul. 77(5), 389–405 (2007)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sultan, K.S., Alshami, S.A. (2010). Prediction of Future Order Statistics from the Uniform Distribution. In: Borgelt, C., et al. Combining Soft Computing and Statistical Methods in Data Analysis. Advances in Intelligent and Soft Computing, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14746-3_73

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14746-3_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14745-6

  • Online ISBN: 978-3-642-14746-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics