# Inverse of Cumulative Distribution Functions (INV)

Name Brief Example
Chi2inv Computes the inverse of the $\chi^2$ cdf for the corresponding probabilities in $X$ with parameters specified by $\nu$.
Ftable The F distribution function with m and n degrees of freedom. Example
Finv Computes the inverse of $F$ cdf at $x$, with parameters $\nu_1$ and $\nu_2$ .
Foldnorminv computes the deviate x, associated with the given lower tail probability, p, of the folded normal distribution, with distribution parameters mu and sigma.
Gaminv Computes the inverse of Gamma cdf at $g_p$ , with parameters $a$ and $b$.
Landauinv Computes the deviate x of the Landau distribution at probability p, with location parameters mu and scale parameter sigma. Example
IncF
IncF The incomplete F-table function.
InvF The inverse F distribution function with m and n degrees of freedom. Example
InvErf Computes inverse error function fnction at x.
Invprob The Inverse Probability Density function. Example
Invt The inverse t distribution function with n degrees of freedom. Example
Logninv Computes the deviate,$x_p$, associated with the given lower tail probability,$p$, of the Lognormal distribution using the parameters $\mu$ and $\sigma$.
Norminv Computes the deviate,$x_p$, associated with the given lower tail probability,$p$, of the standardized normal distribution.
Srangeinv Computes the deviate, $x_p$, associated with the lower tail probability of the distribution of the Studentized range statistic.
Ttable The Student's t distribution with n degrees of freedom. Example
Tinv Computes the deviate associated with the lower tail probability of Student's t-distribution with real degrees of freedom.
Wblinv Computes the inverse Weibull cumulative distribution function for the given probability using the parameters a and b.
Betainv Returns the inverse of the cumulative distribution function for a specified beta distribution. Example