Sentence examples for estimated forecasting from inspiring English sources

For 'AIDS Diagnoses', the estimated forecasting models for 'AIDS (Search Term)' and 'AIDS (Illness)' in the US have an R2 of 0.8548 and 0.8982, respectively.

The estimated forecasting models are based on only 12 years' data, thus the robustness of the models will increase when more years or smaller interval data are made officially available.

Furthermore, most States' models exhibit high R2 in at least one Google Trends' category, which is indicative of the significance of the estimated forecasting models of AIDS prevalence in the US States.

Table 5 consists of the coefficients and the R2 for the estimated forecasting logarithmic forecasting models of the form (y, =,alpha { ln }left( x right), +,beta) for States that exhibit high significance in all three categories, i.e. 'AIDS Prevalence'AIDSIDiagnoses'es', and 'AIDS Deaths'.

The results at first show that significant correlations between Google Trends' data and official health data on AIDS prevalence (2004 2015) exist in several States, while the estimated forecasting models for AIDS prevalence show that official health data and Google Trends data on AIDS follow a logarithmic relationship.

The estimated forecasting models on AIDS prevalence have very good performance, indicating that Google data can be of value in dealing with this sensitive subject, as we can this way have access to data that would not easily or at all been accessed with conventional methods.

In other words, the estimated forecast models, whose forecast errors are lower than 1/2, are ignored.

Evidently, the new meta-discipline of futures research was built on the assumption that a multitude of possible futures existed, which could be estimated, forecast and manipulated.

The purpose of forecasting error measures is to estimate forecasting methods and choose the best one.

While the government-issued request for proposal puts the cost of the program at $10 billion, a spokeswoman for the Department of Homeland Security admits that industry estimates forecasting a total closer to $20 billion may very well be on the money.

50 Various direct measures were used to estimate forecasting error.