Marginal Cumulative Probability Function: Difference between revisions
Jump to navigation
Jump to search
m (Remove links to pages that are actually redirects to this page.) |
m (Text replacement - "---- __NOTOC__" to "---- __NOTOC__") |
||
Line 12: | Line 12: | ||
---- | ---- | ||
__NOTOC__ | __NOTOC__ | ||
[[Category:Concept]] | [[Category:Concept]] |
Revision as of 13:56, 8 March 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 …