# probability distribution

(redirected from Statistical distributions)
Also found in: Dictionary, Financial.
Related to Statistical distributions: Poisson distribution, Gamma distribution, binomial distribution

## probability distribution

[‚präb·ə′bil·əd·ē ‚dis·trə‚byü·shən]
(industrial engineering)
References in periodicals archive ?
This note proposes a definition of uncertainty based on the even-numbered moments of a statistical distribution.
In a book with accompanying software, Krishnamoorthy provides reference table values, important formulas, and results of the many commonly used statistical distributions and some specialized ones as well.
Modeling the NSCT Subband Coefficients as Statistical Distribution
A major advantage with the model is that one can compute the exact statistical distributions of different slope variables, without relying only on simulations.
C]) for selected statistical distributions (normal, lognormal, Weibull, gamma).
For each layer, frame size histograms have been analysed in order to empirically determine a set of statistical distribution to be used as a starting point for fitting to the data sets.
The statistical distribution of channel parameters is estimated by using jointly the Kolmogorov-Smirnov (KS)  and Second Order Akaike (AICc)  criteria.
Among their topics are properties of statistical distributions, linear modeling and regression, time series analysis, preparing data and selecting variables, and optimization methods.
DeMiguel attributes the lack of more widespread use of simulation within business planning, in part, to a lack of understanding of statistics and statistical distributions that are needed to satisfactorily set the boundaries for the likely upside and downside in the value of key model inputs.
Claims about the ubiquity of statistical distributions have a long history.
For example, after specifying that a statistical distribution fitting mechanism would be required, the user would be able to distinguish how many statistical distributions would be sufficient.
Via a chi-square goodness-of-fit test, we estimate which one of 22 given statistical distributions best fits the empirical returns.

Site: Follow: Share:
Open / Close