Finding Area Under Curve with Stochastic Model

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Homework Help Overview

The discussion revolves around finding the area under an exponential function graph using various mathematical models, including empirical, finite element, and stochastic models. The original poster seeks clarification on the stochastic model specifically.

Discussion Character

  • Exploratory, Assumption checking

Approaches and Questions Raised

  • The original poster describes their attempts to find the area using different models and expresses a desire for information on the stochastic model. Some participants mention alternative numerical integration methods, while others question the relevance of suggested tools to the original inquiry.

Discussion Status

The discussion is ongoing, with participants exploring various methods for numerical integration. There is no explicit consensus on the stochastic model, and the original poster continues to seek specific guidance on it.

Contextual Notes

The original poster emphasizes a preference for formulas or steps rather than tools, indicating a focus on theoretical understanding rather than practical application.

kieran1black2
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I have an exponential function graph that was given to me as a question i had to find the points and find three different ways of finding the area under the curve.

I found an Empirical model (finding the formula and integrating from one point to another)

I found a Finite Element model (either using simpson's rule or the trapezoidal rule)

But there seems to be another one called a Stochastic model or probability model.

My question is is there anyone that knows where to find this on the net or knows of it right off the back? I would like to know just the rule or steps and i will do the work myself... thanks
 
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You get some device called a planimeter that is (was) used to determine the area under a graph, or the area of any flat surface.
 
but that has nothing to do with the stochastic model or probability model...

i need a formula or set of steps not a tool...
 
Other numerical integration methods are Rhomberg, adaptive quadrature and Gauss-Legendre.
 

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