Search results
Results From The WOW.Com Content Network
The uniform distribution or rectangular distribution on [a,b], where all points in a finite interval are equally likely, is a special case of the four-parameter Beta distribution. The Irwin–Hall distribution is the distribution of the sum of n independent random variables, each of which having the uniform distribution on [0,1].
The normal distribution is an important example where the inverse transform method is not efficient. However, there is an exact method, the Box–Muller transformation , which uses the inverse transform to convert two independent uniform random variables into two independent normally distributed random variables.
Beta rectangular distribution; Bingham distribution; Birnbaum–Saunders distribution; Bivariate von Mises distribution; Box–Cox distribution; Burr distribution; C.
Thus, a d-variate distribution is defined to be mirror symmetric when its chiral index is null. The distribution can be discrete or continuous, and the existence of a density is not required, but the inertia must be finite and non null. In the univariate case, this index was proposed as a non parametric test of symmetry. [2]
The shape of a distribution will fall somewhere in a continuum where a flat distribution might be considered central and where types of departure from this include: mounded (or unimodal), U-shaped, J-shaped, reverse-J shaped and multi-modal. [1] A bimodal distribution would have two high points rather than one. The shape of a distribution is ...
Supplementary lists. These lists include items which are somehow related to statistics however are not included in this index: List of statisticians; List of important publications in statistics; List of scientific journals in statistics; Topic lists. Outline of statistics; List of probability topics; Glossary of probability and statistics
This page was last edited on 8 October 2020, at 05:37 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...
This distribution for a = 0, b = 1 and c = 0.5—the mode (i.e., the peak) is exactly in the middle of the interval—corresponds to the distribution of the mean of two standard uniform variables, that is, the distribution of X = (X 1 + X 2) / 2, where X 1, X 2 are two independent random variables with standard uniform distribution in [0, 1]. [1]