Jaya algorithm in estimation of P[X > Y] for two parameter Weibull distribution
AIMS Mathematics
Jaya algorithm is a highly effective recent metaheuristic technique. This article presents a simp... more Jaya algorithm is a highly effective recent metaheuristic technique. This article presents a simple, precise, and faster method to estimate stress strength reliability for a two-parameter, Weibull distribution with common scale parameters but different shape parameters. The three most widely used estimation methods, namely the maximum likelihood estimation, least squares, and weighted least squares have been used, and their comparative analysis in estimating reliability has been presented. The simulation studies are carried out with different parameters and sample sizes to validate the proposed methodology. The technique is also applied to real-life data to demonstrate its implementation. The results show that the proposed methodology's reliability estimates are close to the actual values and proceeds closer as the sample size increases for all estimation methods. Jaya algorithm with maximum likelihood estimation outperforms the other methods regarding the bias and mean squared ...
Many “Digital Signal Processing” applications uses “fast fourier transform”. Common practice is t... more Many “Digital Signal Processing” applications uses “fast fourier transform”. Common practice is to run FFT on Digital signal processor or Application specific IC. In this paper 8 point FFT is implemented using Radix 2 butterfly method. 3 stage pipelining is used to speed up the processing. Complex multiplication is done by incorporating complex Vedic multiplier which further enhances the speed.
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Papers by Saurabh Raikar