## What is/are Bayesian Reliability?

Bayesian Reliability - While the dependence assumption among the components is naturally important in evaluating the reliability of a system, studies investigating the issues of aggregation errors in Bayesian reliability analyses have been focused mainly on systems with independent components.^{[1]}In this tutorial article, we outline how to conduct a Bayesian reliability analysis in JASP and correctly interpret the results.

^{[2]}In this article, we have considered the Bayesian reliability estimation from the progressively censored multimodal data using mixture of generalized exponential distributions (GEMD).

^{[3]}In this study, based on the existing research, a Bayesian reliability evaluation method for very few failure data under the Weibull distribution was proposed.

^{[4]}The analytical estimate of likelihood-based Bayesian reliability estimates of the Power Law Process under the squared error and Higgins-Tsokos loss functions were obtained for different prior knowledge of its key parameter.

^{[5]}In this case study, a proposed Bayesian reliability model is applied to Total Ionizing Dose (TID) field data.

^{[6]}By employing a Bayesian reliability analysis of the near-zero failure data we demonstrate a 1st failure percentile for the CMOS components of greater than 92 days when aged at 87 °C, calculated at a 95% confidence level, which approximately corresponds to over 8 years at 37 °C.

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## bayesian reliability analysi

In this tutorial article, we outline how to conduct a Bayesian reliability analysis in JASP and correctly interpret the results.^{[1]}By employing a Bayesian reliability analysis of the near-zero failure data we demonstrate a 1st failure percentile for the CMOS components of greater than 92 days when aged at 87 °C, calculated at a 95% confidence level, which approximately corresponds to over 8 years at 37 °C.

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