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Compute a 1-alpha confidence interval for the trimmed mean using a bootstrap percentile t method.
trimcibt(x, nv = 0, tr = 0.2, alpha = 0.05, nboot = 200, ...)
Returns an object of class "trimcibt" containing:
"trimcibt"
95% confidence interval
trimmed mean
p-value
t-statistic
trimming level
number of effective observations
a numeric vector.
value under H0.
trim level for the mean.
alpha level.
number of bootstrap samples.
currently ignored.
Wilcox, R. (2017). Introduction to Robust Estimation and Hypothesis Testing (4th ed.). Elsevier.
onesampb
set.seed(123) x <- rnorm(30) trimcibt(x, nboot = 100) ## H0: Psi = 0
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