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"Analysis of Non-Parametric Bootstrap & Monte Carlo simulation Methods to evaluate MTBF during Faulty Conditions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.69-74, January-2021, Available :http://www.jetir.org/papers/JETIR2101011.pdf

• Mr. Amit marmat
• Mr. Ritesh Nagar

This paper gives the information about reliability of the system that how long it can be able to withstand during uncertain conditions and these types of uncertainty can be calculated by using two methods which provides a beneficial data to maintain the overall reliability of the system. The two methods are Non-Parametric Bootstrap and Monte Carlo simulation method. Non-Parametric Bootstrap method can be used to evaluate Mean time between failures, samples are taken of a problematical system. Where, Monte Carlo simulation method can analysis the samples and provide the information of the occurrence of faulty condition in the system so that we can take a preventive measures to avoid eths types of uncertain conditions and to achieve reliability and accuracy of the system.

Monte Carlo simulation, Non-parametric bootstrap, faulty system, mean time between failure, reliability.

"Analysis of Non-Parametric Bootstrap & Monte Carlo simulation Methods to evaluate MTBF during Faulty Conditions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp69-74, January-2021, Available at : http://www.jetir.org/papers/JETIR2101011.pdf