asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem

Details asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem

2009-02-03

arxiv.org/abs/0902.0506v2

Statistics

Computation

Scientific paper

This paper describes an R package implementing large sample tests and confidence intervals (based on the central limit theorem) for various parameters. The one and two sample mean and variance contexts are considered. The statistics for all the tests are expressed in the same form, which facilitates their presentation. In the variance parameter cases, the asymptotic robustness of the classical tests depends on the departure of the data distribution from normality measured in terms of the kurtosis of the distribution.

Affiliated with

Also associated with

No associations

Rating

asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-297775