n
The fact that the arithmetic mean of nonnegative numbers is not less than their geometric mean, and is more if some of the numbers are distinct.
n
(mathematics) A generalization of periodicity such that f(x + P) = โf(x) for all x in some function f.
n
Alternative form of kurtosis [(statistics) A measure of "heaviness of the tails" of a probability distribution, defined as the fourth cumulant divided by the square of the variance of the probability distribution.]
adj
Alternative form of kurtotic [Relating to, or exhibiting, kurtosis.]
n
(statistics) Kurtosis minus 3; the difference between the kurtosis of a given distribution and the kurtosis of a normal distribution.
n
(statistics, probability) A tail of a probability distribution with significantly higher kurtosis than a normal distribution (which has kurtosis = 0).
adj
(statistics) Having a fat tail; leptokurtic.
n
(statistics) slim-tailedness or platykurticity
adj
(statistics) Having a heavy tail; leptokurtic.
n
(statistics) The property of a series of random variables of not every variable having the same finite kurtosis
adj
(statistics) Of an estimator or series of estimators: robust in the presence of heterokurtosis
n
(statistics) The property of a series of random variables of every variable having the same finite kurtosis
n
(statistics) A measure of "heaviness of the tails" of a probability distribution, defined as the fourth cumulant divided by the square of the variance of the probability distribution.
adj
Relating to, or exhibiting, kurtosis.
adj
(statistics) Of a distribution: having kurtosis greater than that of a normal distribution; equivalently, having positive excess kurtosis.
n
(statistics) The property of having kurtosis greater than that of a normal distribution; equivalently, having positive excess kurtosis.
adj
(statistics) Leptokurtic.
n
(mathematics, probability) Used other than figuratively or idiomatically: The tail of a distribution that represents the rare occurrence of extreme values.
adj
(statistics) Of a distribution: having kurtosis equal to that of a normal distribution; equivalently, having zero excess kurtosis.
n
(statistics) The property of having kurtosis equal to that of a normal distribution; equivalently, having zero excess kurtosis.
adj
(computer graphics, of a polygon mesh) Not representing a continuous, closed surface (i.e. of a solid object)
n
(statistics) kurtosis (archaic).
adj
(statistics) Of a distribution: having kurtosis less than that of a normal distribution; equivalently, having negative excess kurtosis.
n
(statistics) The property of having kurtosis less than that of a normal distribution; equivalently, having negative excess kurtosis.
adj
(statistics) Platykurtic.
adj
(comparable, statistics) Of a distribution: asymmetrical about its mean.
n
(statistics) A measure of the asymmetry of the probability distribution of a real-valued random variable; is the third standardized moment, defined as scriptstyle ๐พโ=(๐โ)/(๐ยณ),! where ๐โ is the third moment about the mean and ๐ is the standard deviation.
adj
(mathematics) Growing at a lesser rate than polynomial.
adj
(mathematics, said of a function) having the property that f(xโจy)+f(xโงy)โฅf(x)+f(y) for all x, y isin Rแต, where x โจ y denotes the componentwise maximum and x โง y the componentwise minimum of x and y.
n
(statistics) The part of a distribution most distant from the mode; as, a long tail.
Note: Concept clusters like the one above are an experimental OneLook
feature. We've grouped words and phrases into thousands of clusters
based on a statistical analysis of how they are used in writing. Some
of the words and concepts may be vulgar or offensive. The names of the
clusters were written automatically and may not precisely describe
every word within the cluster; furthermore, the clusters may be
missing some entries that you'd normally associate with their
names. Click on a word to look it up on OneLook.
Our daily word games Threepeat and Compound Your Joy are going strong. Bookmark and enjoy!
Today's secret word is 7 letters and means "Relating to marshes or swamps." Can you find it?