EL.means | R Documentation |

Empirical likelihood inference for the difference of two sample means. This includes a test for the null hypothesis for a constant difference of mean difference, confidence interval and EL estimator.

EL.means(X, Y, mu = 0, conf.level = 0.95)

`X` |
a vector of data values. |

`Y` |
a vector of data values. |

`mu` |
a number specifying the null hypothesis. |

`conf.level` |
confidence level of the interval. |

A list of class 'htest' containing the following components:

`estimate ` |
the empirical likelihood estimate of the mean difference. |

`conf.int ` |
a confidence interval for the mean difference. |

`p.value ` |
the p-value for the test. |

`statistic ` |
the value of the test statistic. |

`method ` |
the character string 'Empirical likelihood mean difference test'. |

`null.value ` |
the specified hypothesized value of mean differences 'mu' under the null hypothesis. |

`data.name ` |
a character string giving the names of the data. |

E. Cers, J. Valeinis

J. Valeinis, E. Cers and J. Cielens (2010). Two-sample problems in statistical data modelling. Mathematical modelling and analysis, 15(1), 137-151.

J. Valeinis, E. Cers. Extending the two-sample empirical likelihood. To be published. Preprint available at http://home.lanet.lv/~valeinis/lv/petnieciba/EL_TwoSample_2011.pdf.

`EL.Huber`

X <- rnorm(100) Y <- rnorm(100) t.test(X, Y) EL.means(X, Y) EL.Huber(X, Y)

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