standard_triangle_mle: Maximum likelihood estimate of the standard triangle...

In triangle: Distribution Functions and Parameter Estimates for the Triangle Distribution

Maximum likelihood estimate of the standard triangle distribution mode

Description

Maximum likelihood estimate of the standard triangle distribution mode

Usage

standard_triangle_mle(x, debug = FALSE)

Arguments

x	sample from a triangle distribution
debug	if TRUE then the function will check the input parameters

Value

an object of S3 class triangle_mle containing a list with the call, coefficients, variance co-variance matrix, minimum negative log likelihood, number of observations, and the sample

References

Samuel Kotz and Johan Rene van Dorp. Beyond Beta doi: 10.1142/5720

Examples

xtest <- c(0.1, 0.25, 0.3, 0.4, 0.45, 0.6, 0.75, 0.8)
standard_triangle_mle(xtest)

triangle documentation built on Dec. 28, 2022, 2:09 a.m.