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


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