Affiliations Associate Professor, Dept. of CS&E, Acharya Nagarjuna University, Guntur, A.P., India.Research Scholar, Rayalaseema University, Kurnool, A.P.,India.Lecutrer in P.G.Dept.of Mathematics, P.B. Siddhartha College of Arts & Science, Vijayawada, A.P. India.
Noise is integral in the software failure data. A conversion of data is needed to smooth out the noise. Smoothing
enhances quality at first as the size increments and turns out to be more regrettable as the gathering size is vast. Order statistics
deals with applications of ordered random variables and functions of these variables. When failures are frequent or inter failure
time is less, the use of order statistics is significant. Classical Hypothesis testing needs more time to draw conclusions by collecting
volumes of data. But, to decide upon the reliability or unreliability of the developed software very quickly Sequential Analysis of
Statistical science could be adopted. The method embraced for this is, Sequential Probability Ratio Test (SPRT), which is designed
for continuous monitoring. The likelihood based SPRT proposed by Wald is very general and it can be used for many different
probability distributions. The method used to derive the unknown parameters is Maximum Likelihood Estimation (MLE). In this
paper, a control mechanism based on Order statistics and Sequential Probability Ratio Test is applied using mean value function of
Rayleigh distribution and analysed the results.
Dr. R. Satya Prasad,Syed Khasim,T.Anuradha."Rayleigh based SPRT: Order Statistics". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 08,pp.523-529, August - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I811.pdf,
Keywords : Rayleigh, Maximum Likelihood Estimation, Order statistics, SPRT, Reliability
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