The name of the process underlying distributons with a hazard rate

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SUMMARY

The stochastic process underlying distributions with a hazard rate, whether constant or variable, is identified as a random point process. In the context of the exponential distribution, the hazard rate remains constant, while other distributions may exhibit varying hazard rates based on time functions. The discussion clarifies that different hazard rate functions correspond to different distributions, emphasizing the importance of understanding this relationship in probability theory.

PREREQUISITES
  • Understanding of exponential distribution and its properties
  • Familiarity with hazard rates and their significance in statistics
  • Knowledge of probability density functions (pdf) and cumulative distribution functions (cdf)
  • Basic concepts of stochastic processes
NEXT STEPS
  • Research random point processes and their applications in statistics
  • Explore the relationship between hazard rates and various probability distributions
  • Learn about failure rate analysis and its relevance in reliability engineering
  • Watch educational videos on hazard rates and stochastic processes on platforms like YouTube
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Statisticians, data scientists, and researchers in fields involving reliability analysis and stochastic modeling will benefit from this discussion.

Ad VanderVen
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In the exponential distribution, the hazard rate is constant. The hazard rate does of course not always have to be constant, but can also be a function of time, which then leads to different distributions. But my question is: what is the stochastic process called that underlies this type of distributions with a constant or variable hazard rate?
In the exponential distribution, the hazard rate is constant. The hazard rate does of course not always have to be constant, but can also be a function of time, which then leads to different distributions. But my question is: what is the stochastic process called that underlies this type of distributions with a constant or variable hazard rate?
 
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Ad VanderVen said:
The hazard rate does of course not always have to be constant, but can also be a function of time, which then leads to different distributions.
You have this the wrong way round: different distributions have different hazard rates. You can easily calculate the hazard function for any distribution.
 
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I've heard it called failure rate analysis if that helps.

Also this argument the two of you are having is over whether the pdf or the cdf comes first, which seems silly.
 
I now know what the process is called that underlies probability distributions with a hazard rate that is a function of time, such as the exponential distribution where the function of time is a constant. The process is called a random point process. Explanation can be found on Youtube:

 

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