21. Other forms of convergence are important in other useful theorems, including the central limit theorem . 22. Such a distribution will be normal according to the central limit theorem except in pathological cases. 23. I really have absolutely no clue where to start-is it central limit theorem related? 24. The central limit theorem applies in particular to sums of independent and identically distributed discrete random variables. 25. He also was the first to postulate the central limit theorem , a cornerstone of probability theory. 26. Thus according to the central limit theorem , we can model jitter as a gaussian random variable. 27. Actually it is possible to establish the central limit theorem and large deviation theorem in this setting. 28. By the central limit theorem , repeated application of a box blur will approximate a Gaussian blur. 29. If so, you just need to use the central limit theorem as written above to conclude. 30. The central limit theorem may also be expressed in terms of the polar components of the mean.
