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We aggregate their forecast values by giving each forecaster equal weight.
The NWS RH forecast values are also adjusted in the same way for all locations.
Aim of the presented cost-effectiveness fuzzy analysis is the evaluation of the effectiveness of monetary investments on the reduction of uncertainty of the analyzed forecast values.
To determine the forecast values of the variables we will use Seemingly Unrelated Regression (SUR), which is necessary since there is a relationship between the variables and between the errors.
It is postulated that uncertain forecast values, e.g. expected safety, quality, or the completion date of a structure, can be improved or scheduled more precisely by a higher investment.
In his speech on monetary policy and the housing bubble at the American Economic Association in January 2010, Chairman Bernanke referred to these findings emphasising that...because monetary policy works with a lag, effective monetary policy must take into account the forecast values of the goal variables, rather than the current values.
Similar(30)
Under present condition, the forecast value of tensile strength is 1731 cN nearly to the experimental data.
OWA is utilized to generate weights of past fuzzy observations; thereby eliminating the need for large number of historical observations required to forecast value.
Since the more uncertainty the more valuable the forecast which reduces this uncertainty, including diversification would reduce this forecast value.
It is calculated by first taking the absolute deviation between the actual value and the forecast value.
The measured turbidity datum for day 82 was then included for analysis, and its forecast value was discarded.
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