univariate distribution


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univariate distribution

[‚yün·ə¦ver·ē·ət ‚dis·trə′byü·shən]
(statistics)
A frequency distribution of only one variate.
References in periodicals archive ?
However, the conventional flood frequency analysis methods for deriving DFH recommended by many countries are based on the univariate distribution, mainly concentrated on the analysis of annual peak discharge or flood volume series without analyzing the inherent relationship between flood peak and volumes [2].
6 If we only are interested in the univariate distribution of the variables, we may combine two of the colours into one, and thus instead study Urn IL the two-colour urn with replacement vectors (0, 2) and (1, 1).
4) Using accurate descriptions: This guideline recognizes all three essential properties needed to accurately describe a univariate distribution.
From now on, it will be assumed that all the univariate distribution function F that will be considered are continuous everywhere and strictly increasing on the interval [inf{x [epsilon] R \ F(x) [greater than] 0}; sup x [epsilon] R \ F(x) [less than]1].
In addition to restrictions on the univariate distribution of each asset, the multivariate normal null places restrictions on the cross-moments of asset returns.
For each univariate distribution means and standard deviations were obtained by year and professional sport.
n] be a random sample of size n from some univariate distribution function F(*), and let
After the introduction, they present chapters on univariate distribution descriptors, bivariate relationship descriptors, hypothesis testers, point pattern descriptors and analyzers, line pattern analyzers, and polygon pattern analyzers.
Balakrishnan, Continuous Univariate Distributions, vol.
Balakrishnan, Continuous Univariate Distributions , Wiley-Interscience, New York, 1994.
Kline (1998) noted that multivariate non-normality can be detected through inspections of univariate distributions [32].
Balakrisnan; Weibull distributions, Continuous univariate distributions, Second Edition, John Wiley & Sons, Inc.