Sentence examples for the total number of models from inspiring English sources
Mahwah, NJ, April 26 , 2010– Denon Electronics, one of the world's premier manufacturers of high-quality home entertainment components, today introduced six high-performance headphones, bringing the total number of models in the company's line to 14.
A simple average of models bar{y} = frac{1}{n}sum y_{i} (1 where n is the total number of models and y i is an individual prediction was used to develop the consensus model in that study.
In other words, the co-occurrence of two descriptors is computed using the following ratio: the number of models in which both descriptors appear simultaneously over the total number of models.
For example, the topmost left bar for CO2 is around the value 3.9, meaning that an increase of 1 ppm of CO2 increases the annual yield by 3.9 g/m2 - Right side: relative share of different linear (multivariate) models to the total number of models Rx represents the number of the 2047 possible runs through variable combination - P x is precipitation by respective season, T x for temperature.
The number of all paths of the maximum given length l is given in Eq. 7. Considering the nested loops in Algorithm 1, the total number of models to be trained and tested can be expressed as sum_{n=1}^{N} left(sum_{k=1}^{K} left((left| P right| - 1) ^ 2 left left| P right| - 2 right)^{n-2} frac {m!}{(m - l)!} right) right), (8).
The remaining columns group results according to the total number of models retained.
The total number of model parameters was 6 × 146,848.
In this simple test, the total number of data points (N) is 800, and the total number of model parameters to be solved (M) is 53,900.
DOF shows the total number of model terms, including intercept minus one while mean square estimates the model variance, calculated by the model sum of squares divided by model degrees of freedom.
The MM stabilizing functional is given as s_{text{MM}} ({mathbf{m}}) = sumlimits_{i = 1}^{N} {left( {m^{(i)} - m_{text{apr}}^{(i)} } right)^{2} }, (2 where m i is the ith model parameter and N is the total number of model parameters.
The total number of model parameters taken into account was counted for each model.
