On Testing Exponentiality Against NBURFR Class Of Life Distributions

  • Mahmoud, M.A.W. (Mathematics Department, Faculty of Science Al-Azhar University) ;
  • Abdul Alim, N.A. (Mathematics Department, Faculty of Science Al-Azhar University)
  • Published : 2003.06.01

Abstract

A non-parametric test based on U-statistic for testing exponentiality against the new better than used renewal failure rate (NBURFR) alternatives is introduced and the percentiles of this test statistic are tabulated for sample size 5(1)50. Its properties are also discussed including the Pitman asymptotic efficiency relative to the tests of the new better than used and new better than used failure rate (Ahmed (1994) and Hendi (2000)). The powers of this test are also calculated for some used life distributions. An example from blood cancer patients demonstrates a practical application of our test in the medical sciences is presented. Finally the problem when right-censored data is available is handled.

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