trimcibt function

Bootstrap-t method for one-sample test

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, ...)

Arguments

• x: a numeric vector.
• nv: value under H0.
• tr: trim level for the mean.
• alpha: alpha level.
• nboot: number of bootstrap samples.
• ...: currently ignored.

Returns

Returns an object of class "trimcibt" containing:

• ci: 95% confidence interval

• estimate: trimmed mean

• p.value: p-value

• test.stat: t-statistic

• tr: trimming level

• n: number of effective observations

References

Wilcox, R. (2017). Introduction to Robust Estimation and Hypothesis Testing (4th ed.). Elsevier.

See Also

onesampb

Examples

set.seed(123)
  x <- rnorm(30)
  trimcibt(x, nboot = 100)    ## H0: Psi = 0