telephone


The telephone data records the number of telephone calls (tens of millions) made in Belgium from 1959 to 1973. There are several outliers resulted from mistakes in recording units over the years 1964 to 1969.


TEEReg

TEE.BCa

For fitting multiple linear regressions, the ordinary least squares approach is sensitive to outliers and/or violations of model assumptions. The trimmed elemental estimators are more robust to such situations. This package contains functions for computing the trimmed elemental estimates, as well as for creating the bias-corrected and accelerated bootstrap confidence intervals based on elemental regressions.

Wei Jiang

Trimmed Elemental Estimation for Linear Models

telephone function

A data frame with 24 observations on the following 2 variables.
  <dl>
    <dt><code>Y</code></dt><dd>a numeric vector: the number of telephone calls in tens of millions.</dd> <dt><code>X</code></dt><dd>a numeric vector: years.</dd> </dl> 

Format

R. J. Rousseeuw and A. M. Lerory. Robust Regression and Outlier Detection. John Wiley and Sons, New York, 1987.

telephone: An example dataset for TEEReg.

Description

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Source

Examples