Why aren't those two probabilities equal (exponential dist)
- Context: Undergrad
- Thread starter Hamad
- Start date
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- Tags
- Probabilities
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Discussion Overview
The discussion revolves around the relationship between probabilities in the context of exponential distributions and their application in modeling failure times. Participants explore the implications of strict convexity in exponential functions and the potential for finding an equivalent distribution for a composite system of objects A and B.
Discussion Character
- Technical explanation
- Debate/contested
- Mathematical reasoning
Main Points Raised
- Some participants express concern over the interpretation of failure time and the parameterization of the exponential distribution.
- It is noted that the exponential function is strictly convex, leading to the inequality between expected values and the exponential of expected values.
- One participant questions whether a new parameter ##\lambda_3## can be defined as a function of ##\lambda_1## and ##\lambda_2## to satisfy certain conditions related to cumulative distribution functions (CDFs).
- Another participant asserts that the existence of ##\lambda_3## is contingent upon ##\lambda_1## equaling ##\lambda_2## for any probability ##0 < p < 1##.
- A participant expresses skepticism about the relevance of Poisson splitting to the original problem, while still considering the possibility of approximating or reducing composite probabilities into a simplified equivalent system.
- It is concluded that the distribution function for the equivalent object C cannot be expressed in the form of a single exponential distribution, indicating a limitation in modeling with a Poisson process.
Areas of Agreement / Disagreement
Participants do not reach a consensus on the possibility of finding an equivalent object C that models A and B. There are competing views regarding the applicability of Poisson processes and the conditions under which an equivalent distribution might exist.
Contextual Notes
Participants acknowledge limitations in their discussion, particularly regarding the assumptions needed for the existence of ##\lambda_3## and the implications of strict convexity on the relationships between the distributions.
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