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3 articles for “Inverse Rayleigh distribution”
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Control Chart for Attributes based on Inverse Rayleigh Distribution
Abstract: In this paper, a new attribute control chart based on inverse Rayleigh distribution is developed under a time truncated life test. The number of failures is observed from the life test and the fraction nonconforming is to be monitored by two pairs of lower and upper control limits. The simulation study shows the efficiency of the developed chart. An example is provided for illustrating the new control chart.Cite this ArticleKowsalya …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 3, 2018 · pp. 1–5 Read article
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Bayesian Approximation Techniques of Inverse Rayleigh Distribution
Abstract: The present study is concerned with the estimation of inverse Rayleighdistribution using various Bayesian approximation techniques like normal approximation, and Tierney and Kadane (T-K) approximation. Different informative and non-informative priors are used to obtain the Baye’s estimate of inverse Rayleighdistribution under different approximation techniques. The simulation study has been conducted for comparison of Baye’s estimates obtained under different approximations using different priors. A real life example has also been discussed …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 50–59 Read article
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On Some Length-biased Distributions: An Overview
Abstract: AbstractThis paper review works on some length-biased distributions. The length-biased distributions received much attention in the literature since they occur naturally in many situations where it is not possible to work with a truly random sample from the population of interest. Some important length-biased distributions studied in the recent literature are length-biased versions of Inverse Gaussian, Log-normal, Beta Type I and Type II, Weighted Generalized Rayleigh and Birnbaum-Saunders distributions are …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 1, 2020 · pp. 27–47 Read article