Analysis of Failure Models using

MRDDV model is a regression based approach to model the unexpected events. In this paper, we use the MRDDV model as the covariate effect in the covariate induced processes. So far, most of the failure and survivability models used are designed under the static environment that does not provide the appropriate result to find out the risk factor as the experiments are done inside the laboratory environment in case of the static environment. So we have tried to analyze the hazard functions of the failure models that operate in the dynamic environment as appropriate result can be expected as the experiments are done in the operating conditions. Basically, in this paper, we have graphically represented the traditional MRDDV model along with other hazard functions and study how those models behave and analyze how they differ from each other and how they show similarity. MRDDV model provides a practical method to compute survival functions based on covariate processes.