Logarithmic: Logarithmic Distribution

In Distributacalcul: Probability Distribution Functions

Logarithmic Distribution

Description

Logarithmic distribution with probability parameter \gamma.

Usage

dLogarithmic(x, prob)

pLogarithmic(q, prob, lower.tail = TRUE)

expValLogarithmic(prob)

varLogarithmic(prob)

VatRLogarithmic(kap, prob)

mgfLogarithmic(t, prob)

pgfLogarithmic(t, prob)

Arguments

x, q	vector of quantiles.
prob	probability parameter \gamma.
lower.tail	logical; if TRUE (default), probabilities are P[X \le x], otherwise, P[X > x].
kap	probability.
t	t.

Details

The Logarithmic distribution with probability parameter \gamma has probability mass function :

Pr(X = k) = \frac{-\gamma^{k}}{\ln(1 - \gamma)k}

, for k = 0, 1, 2, \dots, and \gamma \in (0, 1)].

Value

Function :

• dLogarithmic gives the probability density function (PDF).

• pLogarithmic gives the cumulative density function (CDF).

• expValLogarithmic gives the expected value.

• varLogarithmic gives the variance.

• VatRLogarithmic gives the Value-at-Risk.

• mgfLogarithmic gives the moment generating function (MGF).

• pgfLogarithmic gives the probability generating function (MGF).

Invalid parameter values will return an error detailing which parameter is problematic.

Examples

dLogarithmic(x = 3, prob = 0.2)

pLogarithmic(q = 3, prob = 0.2)

expValLogarithmic(prob = 0.50)

varLogarithmic(prob = 0.50)

VatRLogarithmic(kap = 0.99, prob = 0.2)

mgfLogarithmic(t = .2, prob = 0.50)

pgfLogarithmic(t = .2, prob = 0.50)

Distributacalcul documentation built on May 29, 2024, 9:25 a.m.