From the t-distribution with df = 18, we obtain the p-value of 0.
From the t-distribution with df = 9, we obtain the p-value of 0.
There is a different t-distribution
for each number of degrees of freedom (basically, sample size).
Similar to traditional RBM, the relational expression of joint distribution and energy function of the RBM with T-distribution
In the t-distribution
, the inverse of the degree of freedom, 1/m, acts as the expansion parameter to quantify the approach to the Gaussian distribution in large m limit.
is the cumulative distribution function of a standard t-distribution
with u-2 degrees of freedom, and [[eta].
Expanded uncertainty for standard loss measurement: Since the effective degree of freedom is more than 30, from t-distribution
table at 95% CL, the coverage factor K = 1.
with v being less than 30 degrees of freedom) versus a model that assumes approximately normality of the errors (v greater than or equal to 30) to be equal to 1; this holds given prior specification (1) for v.
Fortran and S-PLUS subroutines are also available for the noncentral t-distribution
from the Carnegie Mellon University Department of Statistics' StatLib and Oxford University Department of Statistics' FTP archive, respectively.
0], f) is the [gamma]th lower percentage point of the noncentral t-distribution
with noncentrality parameter [[delta].
A sorting of highest to lowest scores for each primary care group is constructed using a standardized distribution for the composite variables (Fisher's Z-distribution) and then transforming them to a T-distribution
with a mean of 70 and a standard deviation of 10.
1] For example, by positing a t-distribution
for the error [[epsilon].
Bagui  tabulated, to 5D, quantiles x of noncentral t-distribution
such that F(x) = p for p = 0.
96 (degree of freedom = [infinity]) is used from student t-distribution
table for 95% confidence level to calculate expanded uncertainty.
Since the effective degree of freedom is [infinity], from student t-distribution
table for 95% confidence level, the coverage factor k = 1.