distribution

(redirected from T-distribution)
Also found in: Dictionary, Medical, Legal, Financial, Encyclopedia.
Related to T-distribution: T-test
Graphic Thesaurus  🔍
Display ON
Animation ON
Legend
Synonym
Antonym
Related
  • noun

Synonyms for distribution

Synonyms for distribution

the act of distributing or the condition of being distributed

the passing out or spreading about of something

Synonyms for distribution

References in periodicals archive ?
From Theorem 1, the extended Student's t-distribution has density (10) and from Theorem 3 we can generate random variables X ~ Et(v, [xi]).
The standard Cauchy distribution (Student's t-distribution with one degree of freedom) has neither a moment-generating function nor finite moments of order greater than or equal to one [Johnson et al., 1994].
Under the null hypothesis, [T.sub.2] always follows t-distribution with df = n-1.
(18) The t-distribution (also known as the Student's t-distribution) is a probability distribution that is used to estimate population parameters when the sample size is small and/or when the population variance is unknown.
where, [theta] represents the given model parameter; [[omega].sub.ij] [[omega].sub.ij] represents the relevant weight between outermost layer node [v.sub.i] [v.sub.i] and hidden layer node [h.sub.j][h.sub.j]; [b.sub.i][b.sub.i] stands for the offset of outermost layer node; [[alpha].sub.i] [[alpha].sub.j] represents the offset of hidden layer node; u is the freedom degree of T-distribution function which is used to control the change of distribution form; u/(u-2)is the variance yields of T-distribution function.
Here we compare the results of the previous two sections using a specific non-Gaussian model, namely, Student's t-distribution as an example.
The draw back of the ([lambda], [bar.[alpha]], [mu], [SIGMA], [gamma])-parametrization is that it does not exist when [bar.[alpha]] = 0 and [lambda] [member of] [-1, 0], which corresponds to a Student's t-distribution without variance.
If the event is absent, y has Student's t-distribution with df = N - 1 degrees of freedom.
At 240 minutes, the probability of a result above 5.5 mM occurring was 0.14%, being 3.26 SD from the mean (2-tailed t-distribution).
For each data set consisting of 30 catch-effort coordinates, we calculated a 95% confidence interval (CI) for cpue based on t-distribution. The variances for each estimator were calculated as in Snedecor and Cochran (1967).
This assignment rehearses the sampling or x distribution, which is essential to understanding the t-distribution that is used in the final project.
Appendices include a review of elementary set theory, a standard normal distribution table, t-Distribution and answers to all problems.
With the choice of five degrees of freedom, the t-distribution exhibits extreme fat tails and potentially presents a serious challenge for our finite sample results that are derived under the normality assumption.
Since the effective degree of freedom is more than 30, from the t-distribution table at 95% CL, the coverage factor