Sentence examples for regression forecast from inspiring English sources

Poisson regression forecast that the incidence of THRs will increase exponentially over the coming years, with a predicted incidence of 784 total hip replacements per 10 Swedish residents in 2030 and 1,133 in 2040.

Each sensor locally adjusts its sensing frequency based on the linear regression forecasting model.

Moreover, Vapnik expanded SVM to regression forecasting by adding ε-insensitive loss function, and built the SVR theory [32, 33].

Recently, a novel machine learning technique, called support vector machine (SVM), has drawn much attention in the fields of pattern classification and regression forecasting.

The LMFF model was able to improve the average of root mean square error (RMSEave) and average of mean absolute percentage error (MAPEave) values of the multiple linear regression forecasts by about 18% and 21%, respectively.

Before applying the multiple linear regression to forecast the crop yield, it's necessary to know the significant attributes from the database.

(5) Suppose the value of b can be inferred empirically, and an optimal segment selected from the time sequence generated through formula (5), then the values for both a and c can be determined using linear regression, whereby forecast production Q t f can be obtained as Q_{t}^{f} = (Q_{1}^{f},Q_{2}^{f}, ldots,Q_{n}^{f} ),quad t = 1, 2, ldots,n.

The aim of our work was to compare a Bayesian network to logistic regression to forecast IgA nephropathy (IgAN) from simple clinical and biological criteria.

Thus, we compared performances of a Bayesian network with those of logistic regression to forecast IgA nephropathy (IgAN) from simple clinical and biological criteria collected during a medical consultation.

Although the seasonal factors of some of the series are changing over time, the simple first order differencing in conjunction with the regression model forecast the future observations within the 95percentt confidence bounds.

Illustrated by a Northern California example, our two-pronged approach entails (a) a set of summer monthly market price regressions to forecast daily spot price distributions that incorporate uncertainty in natural gas price and weather; and (b) a simulation exercise to quantify the tariff's value under a specific design.