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<?xml version="1.0" encoding="UTF-8"?>
<helpdocument version="1.0">
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<meta>
<topic id="textscalc01func_forecastpiaddxml">
<title id="tit" xml-lang="en-US">FORECAST.ETS.PI.ADD</title>
<filename>/text/scalc/01/func_forecastetspiadd.xhp</filename>
</topic>
</meta>
<body>
<section id="forecastetspiadd">
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FORECAST_ETS_PIA" id="bm_id0603201617144585" localize="false"/>
<bookmark xml-lang="en-US" branch="index" id="bm_id976559765597655">
<bookmark_value>FORECAST.ETS.PI.ADD function</bookmark_value>
</bookmark>
<h1 id="hd_id0603201617134175"><link href="text/scalc/01/func_forecastetspiadd.xhp">FORECAST.ETS.PI.ADD function</link></h1>
<paragraph id="par_id0603201617141750" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_FORECAST_ETS_PIA">Calculates the prediction interval(s) for additive forecast based on the historical data using ETS or EDS algorithms.</ahelp> EDS is used when argument <emph>period_length</emph> is 0, otherwise ETS is used.</paragraph>
<embed href="text/scalc/01/exponsmooth_embd.xhp#intro"/>
<paragraph id="par_id0603201610005998" role="paragraph" xml-lang="en-US">FORECAST.ETS.PI.ADD calculates with the model</paragraph>
<embed href="text/scalc/01/exponsmooth_embd.xhp#etsadd"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph id="par_id0603201610010044" role="code" xml-lang="en-US">FORECAST.ETS.PI.ADD(target, values, timeline, [confidence_level], [period_length], [data_completion], [aggregation])</paragraph>
<embed href="text/scalc/01/exponsmooth_embd.xhp#target"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#values"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#timeline"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#confidence"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#numsampperiod"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#datacompletion"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#aggregation"/>
<paragraph id="par_id0403201618595126" role="paragraph" xml-lang="en-US">For example, with a 90% Confidence level, a 90% prediction interval will be computed (90% of future points are to fall within this radius from forecast). </paragraph>
<note id="par_id0403201618595143">Note on prediction intervals: there is no exact mathematical way to calculate this for forecasts, there are various approximations. Prediction intervals tend to be increasingly 'over-optimistic' when increasing distance of the forecast-X from the observation data set.</note>
<paragraph id="par_id0403201618595150" role="paragraph" xml-lang="en-US">For ETS, Calc uses an approximation based on 1000 calculations with random variations within the standard deviation of the observation data set (the historical values).</paragraph>
<embed href="text/scalc/01/exponsmooth_embd.xhp#exampledata"/>
<paragraph id="hd_id04032016185123" role="code" xml-lang="en-US">=FORECAST.ETS.PI.ADD(DATE(2014;1;1);Values;Timeline;0.9;1;TRUE();1)</paragraph>
<paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 18.8061295551355, the prediction interval for additive forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, 90% (=0.9) confidence level, with one sample per period, no missing data, and AVERAGE as aggregation.</paragraph>
<paragraph id="hd_id04032123185123" role="code" xml-lang="en-US">=FORECAST.ETS.PI.ADD(DATE(2014;1;1);Values;Timeline;0.8;4;TRUE();7)</paragraph>
<paragraph id="hd_id040312316112394554" role="paragraph" xml-lang="en-US">Returns 23.4416821953741, the prediction interval for additive forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with confidence level of 0.8, period length of 4, no missing data, and SUM as aggregation.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectiontechinfo"/>
<embed href="text/scalc/00/avail_release.xhp#5.2"/>
<embed href="text/scalc/01/common_func.xhp#notODFF"/>
<paragraph role="paragraph" id="par_id341640873986703" localize="false"><literal>COM.MICROSOFT.FORECAST.ETS.COFINT</literal></paragraph>
</section>
<section id="relatedtopics">
<paragraph id="par_id0603201619261276" role="paragraph" xml-lang="en-US">See also:
<link href="text/scalc/01/func_forecastetsadd.xhp">FORECAST.ETS.ADD</link>,
<link href="text/scalc/01/func_forecastetsmult.xhp">FORECAST.ETS.MULT</link>,
<link href="text/scalc/01/func_forecastetsstatadd.xhp">FORECAST.ETS.STAT.ADD</link>,
<link href="text/scalc/01/func_forecastetsstatmult.xhp">FORECAST.ETS.STAT.MULT</link>,
<link href="text/scalc/01/func_forecastetspimult.xhp">FORECAST.ETS.PI.MULT</link>
<link href="text/scalc/01/func_forecastetsseason.xhp">FORECAST.ETS.SEASONALITY</link>,
<link href="text/scalc/01/04060185.xhp#forecast">FORECAST</link>,
<link href="text/scalc/01/04060185.xhp#forecastlinear">FORECAST.LINEAR</link>
</paragraph>
</section>
</body>
</helpdocument>
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