Convergence in probability
Summary
A sequence of random variables converges in probability when, for each tolerance, the probability of a deviation larger than this tolerance tends to . The node convergence in probability 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
- Web https://en.wikipedia.org/wiki/Convergence_of_random_variables, Convergence in probability
What links here
Definitions
- Convergence in probability 0EFDDXTVD6