Titlebook: Reliability and Risk Analysis in Engineering and Medicine; Chandrasekhar Putcha,Subhrajit Dutta,Sanjay K. Gup Textbook 2021 The Editor(s)

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Probabilistic Simulation Methods,igh fidelity) computational model needs to be evaluated. The accuracy level of reliability analysis depends on the region of simulation in the limit state function depends on the DoE over the input design space. This chapter will introduce state-of-the-art probabilistic simulation methods in uncerta

Essential

Decision Theory,ons while circles represent uncertain outcomes. As stated above, since the decisions involved in a decision theory are uncertain, these have certain probabilities associated with them. A decision tree is very similar to a flow chart except the events listed in a flow chart have no uncertainty associ

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Medical Applications I,velops subdural hematoma’s symptoms that reflect in terms of the loss of consciousness and immediate collapse of patient into coma state depending on the rate of bleeding. Subdural hematoma can also be caused by a head injury or stroke. This is because stroke itself can be a hemorrhage or blood clot

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Discrete

Probability and Density Functions,rtain, these variables are called as random variable (RV). There are two types of random variables. One is called discrete random variable and the other is called continuous random variable. In a discrete random variable, the outcomes are whole numbers. Famous examples of discrete random variables a

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System Reliability,hey are connected. Any structure can be considered as a system of various components put together to serve the purpose for which the structure is built to start with. To determine system reliability, one has to first obtain the component reliability using basic methods. The system reliability depend

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Regression Analysis,nt scenario are quite challenging to solve mainly due to their analytical complexities that requires numerical modeling approach. This chapter deals on the use of surrogate models for handling the solution of large-scale and high-dimensional computation intensive real-life problems. In large-scale h

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Leaven

Decision Theory,certainty associated with it and associated probabilities. In any industry, there are sequence of decisions the management has to make for the success of the company. It is true in the life of a person as well. All these decisions don’t have results with certainty. In other words, they are uncertain