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In statistics, an empirical distribution function (a.k.a. an empirical cumulative distribution function, eCDF) is the distribution function associated with the empirical measure of a sample. This cumulative distribution function is a step function that jumps up by 1/n at each of the n data points. Its value at any specified value of the measured variable…
Asymptotic properties, Definition & Overview
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Empirical distribution function | is a | estimate of the cumulative distribution function that generated the points in the sample | 0.90 | text |
| Empirical distribution function | related to Asymptotic properties | By | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | This | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | There | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | Glivenko | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | Cantelli | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | The | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | Kolmogorov | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | Smirnov | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | Other | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | For | 0.60 | section |
| Empirical distribution function | related to Asymptotic properties | L2-norm | 0.60 | section |
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