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Timeline for What is wrong with extrapolation?

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Jun 23, 2016 at 4:26 comment added J. M. is not a statistician Altho it is possible to write safeguards for Wynn $\varepsilon$ (the computationally useful generalization of Aitken $\Delta^2$) and Richardson extrapolation, it can and does happen that the assumptions underlying these algorithms are not very well satisfied by sequences fed to it. When using these extrapolation methods with sequences of uncertain provenance, the sufficiently paranoid will usually have two or more of these convergence acceleration methods at hand for testing, and will only trust the results if at least two of these conceptually very different methods agree in their results.
Jun 19, 2016 at 8:30 history edited usεr11852 CC BY-SA 3.0
Clarification based on Tim's post.
Jun 19, 2016 at 6:40 history answered usεr11852 CC BY-SA 3.0