Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

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

Abstract : 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.
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00358375
Contributor : Jean-François Coeurjolly <>
Submitted on : Thursday, February 26, 2009 - 10:51:58 AM
Last modification on : Thursday, November 19, 2020 - 1:00:56 PM
Long-term archiving on: : Wednesday, September 22, 2010 - 12:06:26 PM

Files

asympTestHAL.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00358375, version 2
  • ARXIV : 0902.0506

Collections

Citation

Jean-François Coeurjolly, Rémy Drouilhet, Pierre Lafaye de Micheaux, Jean-François Robineau. asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem. 2009. ⟨hal-00358375v2⟩

Share

Metrics

Record views

448

Files downloads

221