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