Sentence examples for mean level model from inspiring English sources

In order to fit a data set { y t, t = 1, 2, …, n }, we may use model (1.3) or an Ornstein-Uhlenbeck process with a constant mean level model d y t = λ ( μ − y t ) d t + σ d B t. (4.1).

First, ordinary least squares (OLS) were used to estimate a mean level model.

Hence, it is recommended that Model 1 (the aggregate mean level model) be used.

In common with the mean level model, all of the coefficients were statistically significant (p < 0.01).

For the mean level model, all of the coefficients had the expected negative sign and were statistically significant (p < 0.01).

The explanatory power of the mean level model was 0.936 which is very high indicating that the model is a good fit for the data.

Rather, high mean levels are modelled by low activation rates and are noisy.

For 'Understanding', men compared with women had a lower mean level in the adjusted model but for 'Engagement', men had a higher mean score than women in the adjusted model.

Table 4 shows the results for the mean level and random effects main effects only models (models 1 and 2).

Hence, it is indicated that some inherent characteristics on the mean level is depicted by these models.

The multiple regression model for the mean level of NCP is shown in Table 1.