Statistics: pdf

### Function Reference: `pdf`

statistics: y = pdf (name, x, A)
statistics: y = pdf (name, x, A, B)
statistics: y = pdf (name, x, A, B, C)

Return the PDF of a univariate distribution evaluated at x.

`pdf` is a wrapper for the univariate cumulative distribution functions available in the statistics package. See the corresponding functions’ help to learn the signification of the parameters after x.

`y = pdf (name, x, A)` returns the CDF for the one-parameter distribution family specified by name and the distribution parameter A, evaluated at the values in x.

`y = pdf (name, x, A, B)` returns the CDF for the two-parameter distribution family specified by name and the distribution parameters A and B, evaluated at the values in x.

`y = pdf (name, x, A, B, C)` returns the CDF for the three-parameter distribution family specified by name and the distribution parameters A, B, and C, evaluated at the values in x.

name must be a char string of the name or the abbreviation of the desired cumulative distribution function as listed in the followng table. The last column shows the number of required parameters that should be parsed after x to the desired PDF.

Distribution Name |  | Abbreviation |  | Input Parameters
--- | --- | --- | --- | ---
`"Beta"` |  | `"beta"` |  | 2
`"Binomial"` |  | `"bino"` |  | 2
`"Birnbaum-Saunders"` |  | `"bisa"` |  | 2
`"Burr"` |  | `"burr"` |  | 3
`"Cauchy"` |  | `"cauchy"` |  | 2
`"Chi-squared"` |  | `"chi2"` |  | 1
`"Extreme Value"` |  | `"ev"` |  | 2
`"Exponential"` |  | `"exp"` |  | 1
`"F-Distribution"` |  | `"f"` |  | 2
`"Gamma"` |  | `"gam"` |  | 2
`"Geometric"` |  | `"geo"` |  | 1
`"Generalized Extreme Value"` |  | `"gev"` |  | 3
`"Generalized Pareto"` |  | `"gp"` |  | 3
`"Gumbel"` |  | `"gumbel"` |  | 2
`"Half-normal"` |  | `"hn"` |  | 2
`"Hypergeometric"` |  | `"hyge"` |  | 3
`"Inverse Gaussian"` |  | `"invg"` |  | 2
`"Laplace"` |  | `"laplace"` |  | 2
`"Logistic"` |  | `"logi"` |  | 2
`"Log-Logistic"` |  | `"logl"` |  | 2
`"Lognormal"` |  | `"logn"` |  | 2
`"Nakagami"` |  | `"naka"` |  | 2
`"Negative Binomial"` |  | `"nbin"` |  | 2
`"Noncentral F-Distribution"` |  | `"ncf"` |  | 3
`"Noncentral Student T"` |  | `"nct"` |  | 2
`"Noncentral Chi-Squared"` |  | `"ncx2"` |  | 2
`"Normal"` |  | `"norm"` |  | 2
`"Poisson"` |  | `"poiss"` |  | 1
`"Rayleigh"` |  | `"rayl"` |  | 1
`"Rician"` |  | `"rice"` |  | 2
`"Student T"` |  | `"t"` |  | 1
`"location-scale T"` |  | `"tls"` |  | 3
`"Triangular"` |  | `"tri"` |  | 3
`"Discrete Uniform"` |  | `"unid"` |  | 1
`"Uniform"` |  | `"unif"` |  | 2
`"Von Mises"` |  | `"vm"` |  | 2
`"Weibull"` |  | `"wbl"` |  | 2

See also: cdf, icdf, random, betapdf, binopdf, bisapdf, burrpdf, cauchypdf, chi2pdf, evpdf, exppdf, fpdf, gampdf, geopdf, gevpdf, gppdf, gumbelpdf, hnpdf, hygepdf, invgpdf, laplacepdf, logipdf, loglpdf, lognpdf, nakapdf, nbinpdf, ncfpdf, nctpdf, ncx2pdf, normpdf, poisspdf, raylpdf, ricepdf, tpdf, tripdf, unidpdf, unifpdf, vmpdf, wblpdf

Source Code: pdf