eval_plot_moptw: Plot Eval MOPTW

In prdm0/MarshallOlkinPSG: A competitive family to the Beta and Kumarashuamy generators: Properties, Regressions and Applications

Description

Plot Eval MOPTW

Usage

eval_plot_moptw(
  n_points = 5L,
  N = 200L,
  K = 100L,
  xmin,
  xmax,
  alpha,
  theta,
  beta,
  lambda,
  parallel = FALSE
)

Arguments

n_points	Number of points to form the plot;
N	Maximum number of sums of the external sum of Eq. 19 of the paper.
K	Maximum number of sums of the interior sum of Eq. 19 of the paper.
xmin	Minimum value for the domain. This parameter allows you to control the x axis
xmax	Maximum value for the domain. This parameter allows you to control the x axis
alpha	Parameter added by the proposed family.
theta	Parameter added by the proposed family.
beta	Scale parameter of the Weibull distribution.
lambda	Shape parameter of the Weibull distribution.
parallel	If parallel = TRUE, the code will be executed in parallel, taking advantage of the predecessors multicolors, if any. If parallel = FALSE, the code will be executed serially.

Value

Line graph comparing the theoretical distribution of Eq. 9 of the paper with an approximation, considering finite sums, by Eq. 19 of the paper.

Examples

eval_plot_moptw(
   n_points = 200L,
   N = 3L,
   K = 3L,
   xmin = 0.01,
   xmax = 2,
   alpha = 1.2,
   theta = 1.5,
   beta = 1.33,
   lambda = 2
)

prdm0/MarshallOlkinPSG documentation built on Dec. 22, 2021, 9:51 a.m.