Math 2.0

concept

Convergence in distribution

Summary

A sequence of random variables converges in distribution when their cumulative distribution functions converge to a limit at each point where the limit is continuous. The node convergence in distribution gives the precise definition.

What this node needs for W1
  • an inventory row: the row of the inventory that the node accounts for (0 of 1)

The writing levels say how complete the text of a node is. They do not measure its truth.

Sources

  1. Web https://en.wikipedia.org/wiki/Convergence_of_random_variables, Convergence in distribution