exp: Compute the distributional properties of the exponential...

In dprop: Computation of Some Important Distributional Properties

Compute the distributional properties of the exponential distribution

Description

Compute the first four ordinary moments, central moments, mean, and variance, Pearson's coefficient of skewness and kurtosis, coefficient of variation, median and quartile deviation based on the selected parametric values of the exponential distribution.

Usage

d_exp(alpha)

Arguments

alpha

The strictly positive scale parameter of the exponential distribution (\alpha > 0).

Details

The following is the probability density function of the exponential distribution:

f(x)=\alpha e^{-\alpha x},

where x > 0 and \alpha > 0.

Value

d_exp gives the first four ordinary moments, central moments, mean, and variance, Pearson's coefficient of skewness and kurtosis, coefficient of variation, median and quartile deviation based on the selected parametric values of the exponential distribution.

Author(s)

Muhammad Imran.

R implementation and documentation: Muhammad Imran [e-mail].

References

Balakrishnan, K. (2019). Exponential distribution: theory, methods and applications. Routledge.

Singh, A. K. (1997). The exponential distribution-theory, methods and applications, Technometrics, 39(3), 341-341.

See Also

d_wei, d_EE

Examples

d_exp(2)

dprop documentation built on July 9, 2023, 6:40 p.m.