LOGCDF Function

Returns the logarithm of a left cumulative distribution function.

Categories:Probability
CAS
See:CDF Function

Syntax

Required Arguments

'distribution'

is a character constant, variable, or expression that identifies the distribution. Valid distributions are as follows:

Distribution
Argument
Bernoulli
'BERNOULLI'
Beta
'BETA'
Binomial
'BINOMIAL'
Cauchy
'CAUCHY'
Chi-Square
'CHISQUARE'
Conway-Maxwell-Poisson
'CONMAXPOI'
Exponential
'EXPONENTIAL'
F
'F'
Gamma
'GAMMA'
Generalized Poisson
'GENPOISSON'
Geometric
'GEOMETRIC'
Hypergeometric
'HYPERGEOMETRIC'
Laplace
'LAPLACE'
Logistic
'LOGISTIC'
Lognormal
'LOGNORMAL'
Negative binomial
'NEGBINOMIAL'
Normal
'NORMAL'|'GAUSS'
Normal mixture
'NORMALMIX'
Pareto
'PARETO'
Poisson
'POISSON'
T
'T'
Tweedie
'TWEEDIE'
Uniform
'UNIFORM'
Wald (inverse Gaussian)
'WALD'|'IGAUSS'
Weibull
'WEIBULL'
Note: Except for T, F, and NORMALMIX, you can minimally identify any distribution by its first four characters.

quantile

is a numeric variable, constant, or expression that specifies the value of a random variable.

Optional Argument

parameter-1, ..., parameter-k

are optional shape, location, or scale parameters appropriate for the specific distribution.

Details

The LOGCDF function computes the logarithm of a left cumulative distribution function (logarithm of the left side) from various continuous and discrete distributions. For more information, see CDF Function.
For more information about the distributions that are listed in the table, see PDF Function.
Last updated: March 16, 2017