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In probability theory and statistics, the cumulants κn of a probability distribution are a set of quantities that provide an alternative to the moments of the distribution. Any two probability distributions whose moments are identical will have identical cumulants as well, and vice versa.
History, Some properties of the cumulant generating function & Further properties of cumulants
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cumulants displaystyle kappa moments function textstyle generating random mu distribution sum log first variables operatorname left right terms central moment
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cumulant | is a | mean | 0.90 | text |
| Cumulant | is a | expected value | 0.90 | text |
| Cumulant | is a | determinant of a matrix | 0.90 | text |
| Cumulant | is a | variance | 0.90 | text |
| the magnetic field or chemical potential μ | instance of | Other free energy can be a function of other variables | 0.80 | text |
| Cumulant | related to A negative result | Given | 0.60 | section |
| Cumulant | related to A negative result | There | 0.60 | section |
| Cumulant | related to A negative result | The | 0.60 | section |
| Cumulant | related to Alternative definition of the cumulant generating function | Some | 0.60 | section |
| Cumulant | related to Alternative definition of the cumulant generating function | An | 0.60 | section |
| Cumulant | related to Alternative definition of the cumulant generating function | Although | 0.60 | section |
| Cumulant | related to Alternative definition of the cumulant generating function | Maclaurin | 0.60 | section |
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