Estimating Linear Trends : Simple Linear Regression versus Epoch Differences

@inproceedings{Barnes2015EstimatingLT,
  title={Estimating Linear Trends : Simple Linear Regression versus Epoch Differences},
  author={Elizabeth A. Barnes and Randal J. Barnes},
  year={2015}
}
Two common approaches for estimating a linear trend are 1) simple linear regression and 2) the epoch difference with possibly unequal epoch lengths. The epoch difference estimator for epochs of length M is defined as the difference between the average value over the last M time steps and the average value over the first M time steps divided by N 2 M, where N is the length of the time series. Both simple linear regression and the epoch difference are unbiased estimators for the trend; however… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 19 references

Long-term climate change: Projections, commitments and irreversibility

  • M. Collins
  • Coauthors,
  • 2013

Un - certainty in climate change projections : The role of internal variability

  • T. F. Stocker, C. Deser
  • Climate Change 2013 : The Physical Science Basis
  • 2012

Global surface temperature change

  • J. Hansen, R. Ruedy, M. Sato, K. Lo
  • Rev. Geophys., 48, RG4004,
  • 2010
1 Excerpt

The WRCP CMIP3 multi-model dataset: A new era in climate change research

  • G. A. Meehl, C. Covey, +5 authors K. E. Taylor
  • Bull. Amer. Meteor. Soc.,
  • 2007
2 Excerpts

An assessment of three alternatives to linear trends for characterizing global atmospheric temperature changes

  • D. W. J. Thompson, E. Barnes, C. Deser, W. Foust, andA. Phillips
  • J . Geophys . Res .
  • 2004

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