Calculating the Central Density Function for a Continuous Random Variable

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Homework Help Overview

The discussion revolves around calculating the cumulative density function for a continuous random variable defined by a specific probability density function. The context involves integrating the density function over a specified range and addressing the limits of integration.

Discussion Character

  • Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the integration of the given density function and question the limits of integration. There is a focus on ensuring the correct setup of the problem, particularly regarding the definition of the density function and its behavior outside a specified range.

Discussion Status

The discussion is active, with participants correcting each other's interpretations and calculations. Some guidance has been provided regarding the limits of integration, and there is acknowledgment of errors in the initial setup.

Contextual Notes

There is a specific focus on the condition that the density function is defined for x > theta, prompting questions about the behavior of the function for other values. Participants are also addressing the implications of these conditions on the integration process.

MaxManus
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Homework Statement

-infinity<x<infinity
x> theta
f(x) = [itex]\frac{\lambda}{2}e^{-\lambda (x-\theta)}[/itex]

F(x) = [itex]\int_{-\infty}^x f(x) dx[/itex]

Homework Equations


The Attempt at a Solution


Homework Statement



[itex]\int \frac{\lambda}{2}e^{-\lambda (x-\theta)} dx[/itex]
= [itex]-\frac{1}{2}e^{-\lambda(x-\theta)}[/itex]

Insert the limits:
[itex]-\frac{1}{2}e^{-\lambda(x-\theta)} + \frac{1}{2}e^{-\lambda(-\infty-\theta)}[/itex]

= infinity.

The last part should not be infinity so can anyone see where I go wrong?
 
Last edited:
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You have defined f(x) for [itex]x>\theta[/itex]. Is it zero elsewhere? Should your lower limit be [itex]\theta[/itex]?
 
Yes it should! Thanks

Insert the limits:
[itex]-\frac{1}{2}e^{-\lambda(x-\theta)} + \frac{1}{2}e^{-\lambda(\theta-\theta)}[/itex]
=
[itex]1/2 -\frac{1}{2}e^{-\lambda(x-\theta)}[/itex]
 
Last edited:
You mean [itex]e^{-\lambda(\theta- \theta)}[/itex], not [itex]e^{-\lambda(-\theta- \theta)}[/itex]
 
Thanks, corrected it now.
 

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