expt.mse: Mean square error of simulated experiments

In clttools: Central Limit Theorem Experiments (Theoretical and Simulation)

Description

Mean square error of simulated experiments

Usage

expt.mse(x, n, times, prob = NULL)

Arguments

x	vector, possible outcomes in one trial of experiment
n	number of trials
times	number of simulations
prob	probability assigned to each possible outcome

Details

The default probabilty equals to 1/n. All the assigned probabilites must between 0 and 1.

Value

Mean square error of simulated experiments

Examples

expt.mse(x = c(1:3), n = 4, times = 100)
expt.mse(c(0.1, 4, 2), 3, times = 50, prob = c(0.3, 0.5, 0.2))

clttools documentation built on May 2, 2019, 9:17 a.m.