Sentence examples for models for y from inspiring English sources

Due to satisfactory statistical parameters, applied models for Y and PC represented good approximation of experimental results.

For settings in which parametric models for Y, M, and L are specified via linear regression, this can be formally examined.

The orders of polynomials were determined using a Wald test in univariate models for y and ψ s and were kept the same for "macro micro", "macro", "micro" and "simple" models.

The model for y is constructed as follows: Assume that Pr y = m|x) is a linear combination xβ m.

For example, a first-order autoregressive ("AR(1)") model for Y is a simple regression model in which the independent variable is just Y lagged by one period (LAG Y,1) in Statgraphics or Y_LAG1 in RegressIt).

We concluded that the model for y ∗ ̂ given by Equation (12) was satisfactory, and we could estimate the speedup using back transformation given by y ̂ = e y ∗ ̂.

Often the parameters are denoted there by AR(1), AR(2), …, and MA(1), MA(2), … etc.. To identify the appropriate ARIMA model for Y, you begin by determining the order of differencing (d) needing to stationarize the series and remove the gross features of seasonality, perhaps in conjunction with a variance-stabilizing transformation such as logging or deflating.

Consider the single-variable model for Y as shown in Figure 2a.

To do so, we calculate the difference in BIC scores for the ordinary single-variable model for Y and a model that assumes the observations of Y1,.., YN are IID (a single-variable model for Y with λ→∞).

This is significant because the biofilm system used to identify and characterize bah-1 is a model for Y. pestis colonization of its vector, the flea [13], [23].

To compare the conditional model, a model for Y given X, with the joint model, a model for X and Y, we compare the sum of the overall BIC scores for the conditional model and the single-variable model for X with the overall BIC score for the joint model.