• DocumentCode
    1246566
  • Title

    A comparison of two simple prediction intervals for exponential distribution

  • Author

    Balakrishnan, N. ; Lin, Chien-Tai ; Chan, Ping-Shing

  • Author_Institution
    Dept. of Math. & Stat., McMaster Univ., Hamilton, Ont., Canada
  • Volume
    54
  • Issue
    1
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    27
  • Lastpage
    33
  • Abstract
    The prediction intervals proposed by J. F. Lawless (1971) and G. S. Lingappaiah (1973) for the exponential distribution are both simple to use. In this note, we make a comparison of these two prediction intervals based on the expected width of the prediction interval, as well as by means of the probability of the width of one being smaller than the other. For the computation of the latter, we use an algorithm, which is described briefly in the Appendix. Numerical results of these comparisons are presented for different choices of the parameters involved. Both these comparisons reveal that the prediction interval in is better than that in in that it has smaller expected width, as well as higher probability of having smaller width. Finally, we present an example to illustrate the results discussed in this paper.
  • Keywords
    exponential distribution; maximum likelihood estimation; reliability theory; MLE; best linear unbiased estimator; exponential distribution; maximum likelihood estimator; order statistics; pivotal quantities; prediction intervals; probability; type-II right censored sample; Councils; Exponential distribution; Helium; Life testing; Mathematics; Maximum likelihood estimation; Probability density function; Statistical distributions; Statistics; Vectors; Best linear unbiased estimator (BLUE); Type-II right censored sample; exponential distribution; maximum likelihood estimator (MLE); order statistics; pivotal quantities; prediction intervals; spacings;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2004.841727
  • Filename
    1402677