Convergence in distribution means that the cumulative distribution functions satisfy
(1)
at every where the cumulative distribution function of is continuous. Values at its discontinuities need not converge. This definition uses only the probability distributions, so the random variables need not be defined on the same probability space.

Ancestors (13)

  1. i
  2. a
  3. 1
  4. 2014
  5. Past exam of the probability course of the University of Oxford
  6. Probability course of the University of Oxford
  7. Year 2 of the mathematics course of the University of Oxford
  8. Mathematics course of the University of Oxford
  9. Undergraduate course of the University of Oxford
  10. Course of the University of Oxford
  11. University of Oxford
  12. List of universities
  13. Home

View article source

Discussion (0) New discussion

There are no discussions about this article yet.

Articles by others on the same topic (0)

There are currently no matching articles.
See all articles in the same topic Create my own version