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Inferences on inliers in Rayleigh distribution

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  • Kunnummal Muralidharan

Abstract

The occurrence of instantaneous or early failures is a common phenomenon observed in life testing experiments. Such failures are called inliers. In this article, an attempt has been made to model inliers using Rayleigh distribution. We propose the estimation procedures and tests of hypothesis of the parameters in the model. The validity of the model is studied using Goodness-of-fit testing and other procedures. The study is supported by numerical illustration and simulation study. Copyright Sapienza Università di Roma 2014

Suggested Citation

  • Kunnummal Muralidharan, 2014. "Inferences on inliers in Rayleigh distribution," METRON, Springer;Sapienza Università di Roma, vol. 72(3), pages 307-315, October.
    • Handle: RePEc:spr:metron:v:72:y:2014:i:3:p:307-315
    DOI: 10.1007/s40300-013-0020-1
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    References listed on IDEAS

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    1. K. Auinger, 1990. "Quasi goodness of fit tests for lifetime distributions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 37(1), pages 97-116, December.
    2. Joan Del Castillo & Pedro Puig, 1997. "Testing Departures from Gamma, Rayleigh and Truncated Normal Distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 49(2), pages 255-269, June.
    3. Artur Lemonte & Silvia Ferrari, 2012. "The local power of the gradient test," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 373-381, April.
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