asympTest: A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples

BOOTSTRAP CONFIDENCE INTERVALS 1 BootES : An R Package for Bootstrap Confidence Intervals on Effect Sizes

Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012) is a free, open source software package for R (R Development Core Team, 2012), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen’s d, Hedges’s g, and Pearson’s r), and makes easily available for the first time the computation of their bootstrap CIs...

Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals

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Confidence Intervals and Hypothesis Tests

Overview: Recall that a point estimator for a parameter of interest is a statistic which is a function of the random variables from which our sampling method chooses values. The properties of such an estimator, such as having a small bias or a small mean square error, are usually dependent only upon certain features of the sampling distribution of the statistic, such as its mean or variance. Ho...

Comparison of Confidence Intervals for Large Operational Biometric Data by Parametric and Non-parametric Methods

ExactCIdiff: An R Package for Computing Exact Confidence Intervals for the Difference of Two Proportions

Comparing two proportions through the difference is a basic problem in statistics and has applications in many fields. More than twenty confidence intervals (Newcombe, 1998a,b) have been proposed. Most of them are approximate intervals with an asymptotic infimum coverage probability much less than the nominal level. In addition, large sample may be costly in practice. So exact optimal confidenc...