Search results
Results from the WOW.Com Content Network
The coin toss is the most platykurtic distribution. A distribution with negative excess kurtosis is called platykurtic, or platykurtotic. "Platy-" means "broad". [13] A platykurtic distribution has thinner tails. Examples of platykurtic distributions include the continuous and discrete uniform distributions, and the raised cosine distribution.
The content is as wide as possible for your browser window. Color (beta). Automatic
The probability density function for logarithm of weekly record sales changes is highly leptokurtic and characterized by a narrower and larger maximum, and by a fatter tail than in the normal distribution case. On the other hand, this distribution has only one fat tail associated with an increase in sales due to promotion of the new records ...
to find out if its mesokurtic, platykurtic or leptokurtic, why compare it to 3? —Preceding unsigned comment added by Reesete (talk • contribs) 10:18, 5 March 2008 (UTC) The expected Kurtosis for sample of IID standard normal data is 3 (see the wiki article on the normal distribution for more).
In statistics and decision theory, kurtosis risk is the risk that results when a statistical model assumes the normal distribution, but is applied to observations that have a tendency to occasionally be much farther (in terms of number of standard deviations) from the average than is expected for a normal distribution.
If the distribution is more outlier-prone than the normal distribution it is said to be leptokurtic; if less outlier-prone it is said to be platykurtic. Letter frequency distributions are also used in frequency analysis to crack ciphers , and are used to compare the relative frequencies of letters in different languages and other languages are ...
GAMLSS is especially suited for modelling a leptokurtic or platykurtic and/or positively or negatively skewed response variable. For count type response variable data it deals with over-dispersion by using proper over-dispersed discrete distributions.
It is a useful way to parametrize a continuum of symmetric, platykurtic densities spanning from the normal (=) to the uniform density (=), and a continuum of symmetric, leptokurtic densities spanning from the Laplace (=) to the normal density (=).