geom_errorI {hytest} | R Documentation |
Empirical Error Type I Associated with a Geometric Distribution
Description
geom_errorI
is used to obtain an empirical error type I when we use a random sample from a Geometric distribution.
Usage
geom_errorI(c = 1, n = 150, theta0 = 0.5, R = 15000)
Arguments
c |
numeric, represents a positive value that defines a critical region. Default value is 1. |
n |
numeric, represents the size of the sample. Default value is 100. |
theta0 |
numeric, represents the probability parameter under the null hypothesis of a sample from a Geometric distribution. Default value is 0.5. |
R |
numeric, represents the number of replicates. Default value is 15000. |
Value
A list with number of replicates, sample size, and critical value that were used in the calculation of error type I associated with a likelihood ratio statistic.
Author(s)
Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>.
References
Casella, G. and Berger, R. (2003). Statistical Inference, Second Edition. Duxbury Press.
Hogg, R., McKean, J., and Craig, A. (2019) Introduction to Mathematical Statistic. Eighth edition. Pearson.
Examples
# Error type I when we use a random sample of size 60 from a Geometric distribution,
# a critical value c = 0.01 and R = 20000 to test H_0: theta = 0.5 vs H_1: theta != 0.5
geom_errorI(0.01,n=60,theta0=0.5,R=20000)