Examples of using To forecast in English and their translations into Swedish
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Ecclesiastic
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Official/political
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Computer
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Programming
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Political
To forecast and otherwise to understand such likely behavior of the blazing suns
Anyone who has attempted to forecast exchange rate fluctuations knows how difficult it is to predict developments in the foreign exchange market
Totally unrealistic to forecast, given the current knowledge about the second planet from the Sun,
Poor future reliability implies that an item is difficult to forecast, requiring bigger safety stock levels to maintain a high service level.
From flood protection to aquifer exploitation the only reasonable way to forecast future behaviour is very often modelling.
is also very difficult to forecast.
In the market shaping approach it is more vital to create the future in the now rather than trying to forecast and foresee it.
The purpose is to forecast the future trend of housing prices in Stockholm County 2011-2014 based on estimated slope coefficients of selected explanatory variables 1993-2010.
In that event, RCA can be used to forecast or predict probable events even before they occur.
political developments are difficult to forecast a decade ahead from now.
designed to help sawmills to determine timber class boundaries as well as to forecast and optimize their product outcomes.
Since market movements are impossible to forecast, it is difficult to time your investments at the best possible moment.
have also been used to forecast the possible impacts of health interventions.
easier to forecast and to administer and increase the stability of tax revenues.
The member considered it reasonable to forecast a continued upturn in growth in Sweden in future, with growth rates
rates fluctuate strongly and the movements are difficult to forecast.
For instance, the pattern analysis is the basic concept to be used in order to forecast future prices.
FRS built upon the need for reliable tools to forecast fire activity several months in advance.
In order to forecast the performance of the portfolio, a multivariate GARCH model with time-varying correlations is fitted to the data
are therefore relatively easy to forecast.