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Quantile based tests for exponentiality against DMRQ and NBUE alternatives

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Abstract

Quantile-based reliability analysis has received much attention recently. We propose new quantile-based tests for exponentiality against decreasing mean residual quantile function (DMRQ) and new better than used in expectation (NBUE) classes of alternatives. The exact null distribution of the test statistic is derived when the alternative class is DMRQ. The asymptotic properties of both the test statistics are studied. The performance of the proposed tests with other existing tests in the literature is evaluated through simulation study. Finally, we illustrate our test procedure using real data sets.

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References

  • Abouammoh, A. M., Abdulghani, S. A., & Qamber, I. S. (1994). On partial ordering and testing of new better than renewal used classes. Reliability Engineering & System Safety, 43, 37–41.

    Article  Google Scholar 

  • Abu-Youssef, S. E. (2002). A moment inequality for decreasing (increasing) mean residual life distributions with hypothesis testing application. Statistics & Probability Letters, 57, 171–177.

    Article  MathSciNet  Google Scholar 

  • Ahmad, I. A. (1992). A new test for mean residual life times. Biometrika, 79, 416–419.

    Article  MathSciNet  Google Scholar 

  • Aly, E. E. A. A. (1990). On some tests for exponentiality against IFR alternatives. Statistics, 21, 217–226.

    Article  MathSciNet  Google Scholar 

  • Andersen, P. K., Gill, R. D., & Keiding, N. (1993). Statistical models based on counting processes. New York: Springer.

    Book  Google Scholar 

  • Anis, M. Z. (2013). A family of tests for exponentiality against IFR alternatives. Journal of Statistical Planning and Inference, 143, 1409–1415.

    Article  MathSciNet  Google Scholar 

  • Anis, M. Z., & Basu, K. (2014). Tests for exponentiality against NBUE alternatives: a Monte Carlo comparison. Journal of Statistical Computation and Simulation, 84, 231–247.

    Article  MathSciNet  Google Scholar 

  • Anis, M. Z., & Mitra, M. (2011). A generalized Hollander-Proschen type test of exponentiality against NBUE alternatives. Statistics & Probability Letters, 81, 126–132.

    Article  MathSciNet  Google Scholar 

  • Bergman, B., & Klefsjö, B. (1989). A family of test statistics for detecting monotone mean residual life. Journal of Statical Planning and Inference, 21, 161–178.

    Article  MathSciNet  Google Scholar 

  • Bhattacharjee, M. C., & Sen, P. K. (1995). Kolmogorov-Smirnov type tests for NB(W)UE alternatives under censoring schemes. Lecture Notes-Monograph Series, 27, 25–38.

    Article  MathSciNet  Google Scholar 

  • Box, G.E.P. (1954). Some theoremson quadratic forms appliedinthe studyof analysis of variance problems, I. Effect ofinequalityofvariancein the one-way classification. Annals of Mathematical Statistics, 25, 290–302.

    Article  MathSciNet  Google Scholar 

  • Doksum, K. A., & Yandell, B. S. (1984). In P. R. Krishnaiah, & P. K. Sen (Eds.), Handbook of statistics: Vol. 4. Tests for exponentiality (pp. 579–611). Amsterdam: North Holland.

  • Epstein, B., & Sobel, M. (1953). Life testing. Journal of the American Statistical Association, 48, 486–502.

    Article  MathSciNet  Google Scholar 

  • Fernández-Ponce, J.M., & Rodríguez-Griñolo, M.R. (2015). Testingexponentiality against NBUE distributions withanapplicationinenvironmental extremes. Stochastic Environmental Research and Risk Assessment, 29, 679–692.

    Article  Google Scholar 

  • Gail, M. H., & Gastwirth, J. L. (1978). A scale-free goodness-of-fit test for the exponential distribution based on the Gini statistic. Journal of Royal Statistical Society-B, 40, 350–357.

    MathSciNet  MATH  Google Scholar 

  • Galambos, J., & Kotz, S. (1978). Characterizations of probability distributions. Berlin: Springer-Verlag.

    Book  Google Scholar 

  • Henze, N., & Meintanis, S. G. (2005). Recent and classical tests for exponentiality: a partial review with comparisons. Metrika, 61, 29–45.

    Article  MathSciNet  Google Scholar 

  • Hollander, M., & Proschan, F. (1975). Tests for the mean residual life. Biometrika, 62, 585–593.

    Article  MathSciNet  Google Scholar 

  • Jammalamadaka, S. R., & Taufer, E. (2002). The use of mean residual life in testing departures from exponentiality. Journal of Non-Parametric Statistics, 18, 277–292.

    Article  MathSciNet  Google Scholar 

  • Janssen, P., Swanepoel, J., & Veraverbeke, N. (2009). New tests for exponentiality against new better than used in pth quantile. Journal of Nonparamteric Statistics, 21, 85–97.

    Article  Google Scholar 

  • Johnson, N. L., Kotz, S., & Balakrishnan, N. (1994). Continuous univariate distributions. New York: Wiley.

    MATH  Google Scholar 

  • Koul, H. L. (1978). Testing for new is better than used in expectation. Communications in Statistics. Theory and Methods, 7, 685–701.

    Article  MathSciNet  Google Scholar 

  • Li, X., Cao, W., & Feng, X. (2006). A new test procedure for decreasing mean residual life. Communications in Statistics. Theory and Methods, 35, 2171–2183.

    Article  MathSciNet  Google Scholar 

  • Lorenzo, E., Malla, G., & Mukerjee, H. (2013). A new test for new better than used in expectation lifetimes. Communications in Statistics. Theory and Methods, 44, 4927–4939.

    Article  MathSciNet  Google Scholar 

  • Marshall, A. W., & Olkin, I. (2007). Life distributions-Structure of non-parametric, semiparametric and parametric families. New York: Springer.

    MATH  Google Scholar 

  • Mugdadi, A. R., & Ahmed, I. A. (2005). Moment inequalities derived from comparing life with its equilibrium form. Journal of Statical Planning and Inference, 134, 303–317.

    Article  MathSciNet  Google Scholar 

  • Nair, N. U., Sankaran, P. G., & Balakrishnan, N. (2013). Quantile-based reliability analysis. Basel: Birkhauser.

    Book  Google Scholar 

  • Nair, N. U., Sankaran, P. G., & Vineshkumar, B. (2012). The Govindarajulu distribution: Some properties and applications. Communications in Statistics. Theory and Methods, 41, 4391–4406.

    Article  MathSciNet  Google Scholar 

  • Nair, N. U., & Vineshkumar, B. (2010). L-moments of residual life. Journal of Statistical Planning and Inference, 140, 2618–2631.

    Article  MathSciNet  Google Scholar 

  • Nair, N. U., & Vineshkumar, B. (2011). Ageing concepts: An approach based on quantile function. Statistics and Probability Letters, 81, 2016–2025.

    Article  MathSciNet  Google Scholar 

  • Pavur, R., Edgeman, R., & Scott, R. (1992). Quadratic statistics for the goodnessof-fit test of the inverse Gaussian distribution. IEEE Transaction on Reliability, 41, 118–123.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Sankaran, P. G., & Midhu, N. N. (2016). Testing exponentiality using mean residual quantile function. Statistical Papers, 57, 235–247.

    Article  MathSciNet  Google Scholar 

  • Sreelakshmi, N., Asha, G., & Nair, K. R. M. (2015). On inferring inequality measures using L-moments. Economic Quality Control, 30, 75–87.

    Article  Google Scholar 

  • Sudheesh, K. K., & Deemat, C. M. (2015). A Gini based exact test for exponentiality against NBUE alternatives with censored observations. Journal of Nonparametric Statistics, 27, 503–515.

    Article  MathSciNet  Google Scholar 

  • Wasserman, L. (2006). All of nonparametric statistics. New York: Springer.

    MATH  Google Scholar 

  • Xu, K. (2007). U-Statistics and their asymptotic results for some inequality and poverty measures. Econometric Reviews, 26, 567–577.

    Article  MathSciNet  Google Scholar 

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Sreelakshmi, N., Kattumannil, S.K. & Asha, G. Quantile based tests for exponentiality against DMRQ and NBUE alternatives. J. Korean Stat. Soc. 47, 185–200 (2018). https://doi.org/10.1016/j.jkss.2017.12.003

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  • DOI: https://doi.org/10.1016/j.jkss.2017.12.003

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