Sentence examples for forecast equation from inspiring English sources

Establish an input output relationship with both the GMDH and SGMDH algorithms; derive the model layer-by-layer until optimality is achieved, and then return, layer-by-layer, to the inertial input layer to establish a GMDH or SGMDH forecast equation.

They considered the values of the sea surface temperature disturbance in the Nino3.4 region and the Southern Oscillation Index hemisphere equator (ESOI) of the previous 15 months until the forecast date to analyse and pick out 5 months with the highest correlation of each aforementioned factor for inclusion in the forecast equation.

The Holt-Winters seasonal method comprises the forecast equation and three smoothing equations, with smoothing parameters α, β, and γ.

In an Ensemble Kalman Filter the uncertainty of our knowledge of the process is represented by perturbing the inputs to the model forecast equations randomly by a known variance (with zero-mean) to produce an 'ensemble' of states conceptually imagined as a 'cloud' of points in r-dimensional space.

Because the margin of error in Fair's forecasting equation is three per cent, he isn't really predicting a Romney victory; he's just saying that the race should be close, really close.

μ denotes the CONSTANT in the forecasting equation, whose estimated value is 0.20.

which is an ARIMA 0,1,1 -without-constant forecARIMA 0,1,1 -without-constant.

These numbers determine the number of lags of the differenced series and/or lags of the forecast errors that are included in the forecasting equation.

However, the stationarized series may still have autocorrelated errors, suggesting that some number of AR terms (p ≥ 1) and/or some number MA terms (q ≥ 1) are also needed in the forecasting equation.

ARIMA p,d,q) forecasting equation: ARIMA models are, in theory, the most general class of models for forecasting a time series which can be made to be "stationary" by differencing (if necessary), perhaps in conjunction with nonlinear transformations such as logging or deflating (if necessary).

Lags of the stationarized series in the forecasting equation are called "autoregressive" terms, lags of the forecast errors are called "moving average" terms, and a time series which needs to be differenced to be made stationary is said to be an "integrated" version of a stationary series.