t_cornish_fisher {tcftt} | R Documentation |
Cornish-Fisher expansion for Welch's t-statistic
Description
This function provides approximation for the quantile function of the sampling distribution of the Welch's t-statistic using Cornish-Fisher expansion (up to second order).
Usage
t_cornish_fisher(
p,
order = 2,
n1,
n2,
mu1,
mu2,
sigma1,
sigma2,
gamma1,
gamma2,
tau1,
tau2
)
Arguments
p |
a probability value. |
order |
the order of Cornish-Fisher expansion. Valid options are 0, 1, and 2. If set to 0, it reduces to a normal approximation and it returns the p-th percentile of standard normal distribution. |
n1 |
sample size for the sample from the first population. |
n2 |
sample size for the sample from the second population. |
mu1 |
mean of the first population. |
mu2 |
mean of the second population. |
sigma1 |
standard deviation of the first population. |
sigma2 |
standard deviation of the second population. |
gamma1 |
skewness of the first population. |
gamma2 |
skewness of the second population. |
tau1 |
kurtosis of the first population. |
tau2 |
kurtosis of the second population. |
Value
Cornish-Fisher expansion value evaluated at p.
Examples
t_cornish_fisher(0.9, order=2,
n1=60, n2=30,
mu1=0, mu2=0,
sigma1=1, sigma2=0.5,
gamma1=1, gamma2=0,
tau1=6, tau2=0)
t_cornish_fisher(0.3, order=1,
n1=60, n2=30,
mu1=0, mu2=0,
sigma1=1, sigma2=0.5,
gamma1=1, gamma2=0,
tau1=6, tau2=0)