Failure rate for a uniformly distributed variable

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Discussion Overview

The discussion centers around the concept of failure rate for a random variable T that is uniformly distributed over the interval [a, b]. Participants are seeking clarification on the definition of failure rate and how it applies to uniform distributions.

Discussion Character

  • Conceptual clarification, Technical explanation

Main Points Raised

  • One participant asks for help in determining the failure rate of a uniformly distributed variable T over the interval [a, b].
  • Another participant questions the meaning of "failure rate" in this context, indicating a need for clarification.
  • A third participant reiterates the request for clarification on the term "failure rate," noting that they received instructions related to failure rates for exponential distributions.
  • One participant suggests that the failure rate can be expressed as f(t)/(1-F(t)), where f and F represent the probability density function (pdf) and cumulative distribution function (cdf) respectively, and prompts for the computation of these functions for a uniform distribution.

Areas of Agreement / Disagreement

Participants do not appear to have reached a consensus on the definition of failure rate, and multiple interpretations of the term are present in the discussion.

Contextual Notes

There is uncertainty regarding the application of the failure rate concept to uniform distributions, and the discussion lacks specific computations or definitions related to the pdf and cdf of the uniform distribution.

Mark J.
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Hi,
I have this question:
If random variable T is uniformly distributed over [a, b] , what is its failure rate?
Please help
 
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What does failure rate mean here?
 
Office_Shredder said:
What does failure rate mean here?
The only instruction I got is failure rate for exponential distribution as image attached
 

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So the failure rate is f(t)/(1-F(t)) where f and F are the pdf and cdf of the distribution. Can you compute them for a uniform distribution? The pdf is fairly simple.
 

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