Marginal Cumulative Probability Function: Difference between revisions
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* <B>AKA:</B> [[Marginal Cumulative Probability Function|Marginal CDF]]. | * <B>AKA:</B> [[Marginal Cumulative Probability Function|Marginal CDF]]. | ||
* <B>See:</B> [[Joint Cumulative Probability Function]]. | * <B>See:</B> [[Joint Cumulative Probability Function]]. | ||
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Latest revision as of 21:30, 17 September 2021
A Marginal Cumulative Probability Function is a Cumulative Probability Function for a Marginal Probability Function.
- AKA: Marginal CDF.
- See: Joint Cumulative Probability Function.
References
2004
- (Montanari & Brath, 2004) ⇒ Alberto Montanari, and Armando Brath. (2004). “A stochastic approach for assessing the uncertainty of rainfall‐runoff simulations.” In: Water Resources Research 40, no. 1 (2004).
- QUOTE: … Krzysztofowicz [1997]. Let us denote with P(E ≤ e t ) and P(S ≤ s t ) the arbitrarily specified marginal cumulative probability distributions of E(t) and S(t), respectively, which are assumed to be strictly increasing and continuous. First …