# Exponential smoothing in the telecommunications data (Int J Forecasting 2008)

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## Contents |

## Article

Authors | Title | Journal | Year | Edition | Pages | JEL Codes | Keywords |
---|---|---|---|---|---|---|---|

Everette S. Gardner Jr., Joaquin Diaz-Saiz | Exponential smoothing in the telecommunications data | Int J Forecasting | 2008 | 1 | 170-4 | - | Comparative methods — evaluation, Time series — exponential smoothing, Robust trend, Theta method |

## Article information

Program code | Data | Readme | Method(s) & estimation | Data type | Data used | Origin of data used | Software used (Version) |
---|---|---|---|---|---|---|---|

- | - | - | Autoregressive integrated moving average (ARIMA), with drift, Simple exponential smoothing (SES), with drift | - | 263 telecommunications series, each with 71 monthly, nonseasonal observations of the number of a particular type of tele- phone circuit in service by locality within a single U.S. state | USA | - |

## This article is a replication of

Authors | Title | Journal | Year | Edition | Pages | JEL Codes | Keywords | Replication type | Replication result [refer to replication type 1 and 2] | Raw data | Call into question | Authors statement |
---|---|---|---|---|---|---|---|---|---|---|---|---|

Robert Fildes, Michele Hibon, Spyros Makridakis, Nigel Mead | Generalising about univariate forecasting methods: further empirical evidence | Int J Forecasting | 1998 | 3 | 339–58 | - | - | 3 - reproduction (new methods) | - | - | 2 - partly | - |

## References

DOI: 10.1016/j.ijforecast.2007.05.002 IDEAS: a/eee/intfor/v24y2008i1p170-174.html EconPapers: RePEc:eee:intfor:v:24:y:2008:i:1:p:170-174