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Moiré present Levant LE Center études Actuaries pour la validation Du cursus la Formation acquire Du Center études Actuaries ET admission institute DES Actuaries LE / / 2015 Par : M. Aladdin FACE
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To fill out the stochastic approach, follow these steps:
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Identify the system or process that you want to model or analyze.
03
Define the uncertain variables associated with the system, such as random variables or parameters.
04
Determine the probability distribution functions or statistical properties of the uncertain variables.
05
Develop a mathematical model that captures the relationships between the uncertain variables and the system's behavior.
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Use statistical techniques or simulation methods to analyze the model and make predictions or inference based on the uncertain variables.
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To fill out the tychastic approach, follow these steps:
08
Identify the system or process that you want to model or analyze.
09
Define the imprecise or interval-valued variables associated with the system.
10
Determine the upper and lower bounds or ranges of the imprecise or interval-valued variables.
11
Develop a mathematical model that captures the relationships between the imprecise variables and the system's behavior.
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Use interval analysis or set-valued techniques to analyze the model and make predictions or inference based on the imprecise variables.

Who needs stochastic and tychastic approaches?

01
Stochastic approaches are needed by researchers, statisticians, and analysts who want to model and analyze systems that involve uncertainties and random variables.
02
Tychastic approaches are needed by decision-makers, engineers, and scientists who want to model and analyze systems that involve imprecise or interval-valued data or variables.
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Stochastic approaches involve randomness and probability in decision-making, while tychastic approaches focus on uncertainty and complexity.
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