This coefficient is equal to 1 minus the ratio of the likelihood of the adjusted model to the likelihood of the independent model raised to the power 2/Sw, where Sw is the sum of weights.
This factor is used to compare the relative weights of ropes of the same type when establishing the linear densities of the ropes for the rope standard.
この係数は、1から独立モデルの尤度の2/Sw乗に対する修正モデルの尤度の比率を引いたものに等しい。
This coefficient is equal to 1 minus the ratio of the likelihood of the adjusted model to the likelihood of the independent model raised to the power 2/Sw, where Sw is the sum of weights.
This factor is of the utmost importance, as it not only controls the power density required from the electrothermal system, but also the quantity of water to be managed by the sensor while still providing an accurate reading.
This coefficient implies that the assets with the largest inflation betas in the sample fell on average by 2.8%, and the assets with the most negative inflation betas rose on average by 2.8%.
This coefficient implies that the assets with the largest inflation betas in the sample fell on average by 2.8%, and the assets with the most negative inflation betas rose on average by 2.8%.
While this factor is small compared with the natural flow of energy through the system, which is 240 watts per square meter, it is large compared with all other direct effects of human activities.
This coefficient, whose value is between 0 and 1, is only displayed if the constant of the model has not been fixed by the user. The R2 is interpreted as the proportion of the variability of the dependent variable explained by the model.
This factor may be accomplished with an amp meter.this kind of a equipment are heading to be connected towards bad and good terminals at the solar panel after which the panel are heading to be subjected towards sunlight.
This coefficient is equal to 1 minus the ratio of the likelihood of the adjusted model to the likelihood of the independent model;R2(Cox and Snell): Coefficient, like the R2, between 0 and 1 which measures how well the model is adjusted.
R²(McFadden): Coefficient, like the R2, between 0 and 1 which measures howwell the model is adjusted. This coefficient is equal to 1 minus the ratio of the likelihood of the adjusted model to the likelihood of the independent model;
R²(McFadden): Coefficient, like the R², between 0 and 1 which measures howwell the model is adjusted. This coefficient is equal to 1 minus the ratio of the likelihood of the adjusted model to the likelihood of the independent model;
R²(McFadden): Coefficient, like the R², between 0 and 1 which measures howwell the model is adjusted. This coefficient is equal to 1 minus the ratio of the likelihood of the adjusted model to the likelihood of the independent model;
Kendall's tau: This coefficient, also referred to as tau-b, allows to measure on a -1 to 1 scale the degree of concordance between two ordinal variables. The Kendall's coefficient of concordance: This coefficient measures on a 0(no agreement) to 1(perfect agreement) scale the degree of concordance between two ordinal variables.
This factor implies the obligation of the United States to deal with Russia as an equal and, in fact, break the diplomatic isolation that the West imposed on Russia for the issue Ukraine and allows the Kremlin to act as an interpreter of the first level of international issues, a role lost with the end of the Soviet empire.
R²(Cox and Snell): Coefficient, like the R², between 0 and 1 which measures howwell the model is adjusted. This coefficient is equal to 1 minus the ratio of the likelihood of the adjusted model to the likelihood of the independent model raised to the power 2/Sw, where Sw is the sum of weights.
R²(Cox and Snell): Coefficient, like the R², between 0 and 1 which measures howwell the model is adjusted. This coefficient is equal to 1 minus the ratio of the likelihood of the adjusted model to the likelihood of the independent model raised to the power 2/Sw, where Sw is the sum of weights.
Adjusted R²: The adjusted determination coefficient for the model. The adjusted R² can be negative if theR² is near to zero. This coefficient is only calculated if the constant of the model has not been fixed by the user. The adjusted R² is a correction to the R² which takes into account the number of variables used in the model.
Adjusted R²: The adjusted determination coefficient for the model. The adjusted R² can be negative if theR² is near to zero. This coefficient is only calculated if the constant of the model has not been fixed by the user. The adjusted R² is a correction to the R² which takes into account the number of variables used in the model.
このスケーリング係数は、gainブロックと併せて考慮する必要があります。
This scaling factor needs to be accounted for with a gain block.
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