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| author | Christian Lohmaier <lohmaier+LibreOffice@googlemail.com> | 2016-04-16 20:58:46 +0200 |
|---|---|---|
| committer | Christian Lohmaier <lohmaier+LibreOffice@googlemail.com> | 2016-04-16 20:58:46 +0200 |
| commit | 1b598faceb47d33dd8c6a7ed73a81bc0d8f8591f (patch) | |
| tree | 445f48e0e703be388dc2898f3ad4f1f6289eabc9 /source | |
| parent | f5427d8682290b46d9820f7b9c63efa479f89275 (diff) | |
typo symetric → symmetric
via pootle-feedback
Change-Id: I127b9b515d821b3526be629185c2d4853723b8ba
Diffstat (limited to 'source')
| -rw-r--r-- | source/text/scalc/01/func_forecastetsstatmult.xhp | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/source/text/scalc/01/func_forecastetsstatmult.xhp b/source/text/scalc/01/func_forecastetsstatmult.xhp index b739c6e9ca..3741ccb168 100644 --- a/source/text/scalc/01/func_forecastetsstatmult.xhp +++ b/source/text/scalc/01/func_forecastetsstatmult.xhp @@ -42,7 +42,7 @@ <embed href="text/scalc/01/exponsmooth_embd.xhp#exampledata"/> <paragraph id="hd_id04032016185123" role="code" xml-lang="en-US">=FORECAST.ETS.STAT.MULT(Values;Timeline;5;1;TRUE();1)</paragraph> - <paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 0.084073452803966, the multiplicative statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with symetric mean absolute percentage error (SMAPE), one sample per period, no missing data, and AVERAGE as aggregation.</paragraph> + <paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 0.084073452803966, the multiplicative statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with symmetric mean absolute percentage error (SMAPE), one sample per period, no missing data, and AVERAGE as aggregation.</paragraph> <paragraph id="hd_id04032123185123" role="code" xml-lang="en-US">=FORECAST.ETS.STAT.MULT(Values;Timeline;7;1;TRUE();7)</paragraph> <paragraph id="hd_id040312316112394554" role="paragraph" xml-lang="en-US">Returns 15.8372533480997, the multiplicative statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with root mean squared error, no missing data, and SUM as aggregation.</paragraph> </section> |