This thesis presents a new model for predicting product’s reliability early after its production and introducing to the market. It is assumed that time to failure of this product has Weibull distribution. Also we assume that shape parameter of this distribution is known. The scale parameter is a random variable that could have different distributions. Bayesian statistics are used to join prior information on past product failure and sparse few field data on current product’s performance. The Bayesian model provides a more accurate and logical prediction compared to dir=ltr align=left Keywords: Reliability prediction, Bayesian theory, Weibull distribution, Prior information
