Euler's Integral Statistical Techniques

Eular's integral is one type of standard integration method that helps to simplify equations of certain forms. The integral can be subdivided into gamma and beta equations as well. Each of these is meant to simplify a different type of integral. Euler's function can also be used to analyze statistics for in-depth study.
  1. Gamma Function

    • The Euler Gamma function differs primarily from the Beta function in that it is considering an infinite line whereas Beta has a finite analysis metric. The formula for the Euler Integration Gamma Function is: the integral from zero to infinity, t^(z-1)e^(-t) dt

      Where t^(z-1) = exp(z-1) log t)

    Beta Function

    • The Beta function analyzes the integral from zero to one in a finite analysis. The equation is:

      the integral from zero to one, t^(x-1) X (1-t)^(y-1)dt. This complex function can use the actual values of the points on a line to solve for the function because it is a finite analysis.

    Euler hypergeometric integral

    • The hyper-geometric integral is another type of Euler function that can be used. The hypergeometric integral is another function with many sub-components. The equation is: the

      sum as n approaches infinity, (a X b)/c X z^(n)/n!

      In this case, n must be a non-zero, non-negative number.

    Euler method

    • The overall theory of the Euler method is that it solves for the differential equation of an unknown curve with certain known points. The different statistical methods of conducting Euler integral analysis depend on the type of equation, the slope and tangent of the line.

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