Translation components API.

See the Weblate's Web API documentation for detailed description of the API.

GET /api/translations/libo_help-24-2/textscalc01/hsb/units/?format=api&page=141
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Content-Type: application/json
Vary: Accept

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                "<ahelp hid=\"HID_FUNC_FORECAST_ETS_ADD\">Calculates the additive forecast(s) (future values) 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."
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                "Returns 157.166666666667, the additive forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with one sample per period, no missing data, and AVERAGE as aggregation."
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                "Returns 113.251442038722, the additive forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with period length of 4, no missing data, and SUM as aggregation."
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                "See also:  <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_forecastetspiadd.xhp\">FORECAST.ETS.PI.ADD</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>"
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                "See also:  <link href=\"text/scalc/01/func_forecastetsadd.xhp\">FORECAST.ETS.ADD</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_forecastetspiadd.xhp\">FORECAST.ETS.PI.ADD</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>"
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                "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)."
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                "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."
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                "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."
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                "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."
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                "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>"
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                "<ahelp hid=\"HID_FUNC_FORECAST_ETS_PIM\">Calculates the prediction interval(s) for multiplicative 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."
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