Length 1
Parameters
R <- 20000L
thetahat <- 100
vcovhat <- 1.5
Results
mc_star_length_1 <- mc(
thetahat = thetahat,
vcovhat = vcovhat,
R = R
)
str(mc_star_length_1)
#> num [1:20000] 101 100 100 100 101 ...
hist(
mc_star_length_1,
main = expression(
paste(
"Histogram of ",
hat(theta),
"*"
)
),
xlab = expression(
paste(
hat(theta),
"*"
)
)
)


Length Greater than 1
Parameters
alphahat <- 0.3386
betahat <- 0.4510
alphahat_betahat <- alphahat * betahat
alphahat_betahat_ci_2.5 <- 0.0033
alphahat_betahat_ci_97.5 <- 0.2979
varhat_alphahat <- 0.1224^2
varhat_betahat <- 0.1460^2
thetahat <- c(
alphahat,
betahat
)
vcovhat <- matrix(
data = c(
varhat_alphahat,
0.00,
0.00,
varhat_betahat
),
ncol = 2
)
Results
mc_star_length_2 <- mc(
thetahat = thetahat,
vcovhat = vcovhat,
R = R
)
str(mc_star_length_2)
#> num [1:20000, 1:2] 0.0909 0.1302 0.4743 0.3352 0.2965 ...
#> - attr(*, "dimnames")=List of 2
#> ..$ : NULL
#> ..$ : NULL
alphahat_betahat_star <- mc_star_length_2[, 1] * mc_star_length_2[, 2]
hist(
alphahat_betahat_star,
main = expression(
paste(
"Histogram of ",
hat(alpha),
hat(beta),
"*"
)
),
xlab = expression(
paste(
hat(alpha),
hat(beta),
"*"
)
)
)


wald_out <- wald(
thetahat = alphahat_betahat,
sehat = sd(alphahat_betahat_star)
)
wald_out
#> statistic p se ci_0.05 ci_0.5 ci_2.5
#> 1.997931065 0.045724134 0.076433368 -0.098797440 -0.044170709 0.002901952
#> ci_97.5 ci_99.5 ci_99.95
#> 0.302515248 0.349587909 0.404214640