Sentence examples for historical coefficient from inspiring English sources

Exact(1)

We used statewide unemployment and county-level trucking industry characteristics to estimate historical coefficient of haze (COH), a marker of vehicle-related PM predominantly from diesel exhaust.

Similar(59)

For forecasts at the national scale, MAPE values (i.e. 8%, 5% and 9% for the three respective crops) were considerably smaller than the corresponding historical coefficients of variation (i.e. 17%, 10%and17%7% for the three crops).

Rather, the AARM method reflects the features of SH coefficients to describe the relationship between current and historical SH coefficients, while C1PG is derived from the extrapolated SH coefficients considered by CODE to have the same periodic features of VTEC values.

The application of the model to real-world data is based on a multiple regression model quantifying the influence of macro-scale factors and on an automatic calibration process based on historical data where local coefficient scores for different areas are determined.

The historical trend of Gini coefficients for overall HRH financing and Gini coefficients by funding source is shown in Fig.  2.

Additionally, production information based similarity coefficients are discussed and a historical evolution of these similarity coefficients is outlined.

In order to predict the future price, we first calculate the autocorrelation coefficient [23] of historical prices.

Numerical results show that the proposed chart is insensitive on the correlation of the performance variable and surrogate variable even when the historical information on the correlation coefficient is not very accurate.

In order to re-evaluate the topographic, tectonic and climatic influences on erosion, we adopted five parameters (slope, mean local relief, historical cumulative seismic moment, runoff coefficient of variation and fault density) to study 11 drainage basins in north-east Tibet.

While results from validation studies indicate reasonable correlation between our exposure estimates and PCE concentrations in historical water samples (Spearman correlation coefficient = 0.65, p < 0.00010) [ 26], non-differential exposure misclassification likely biased the findings from dichotomous comparisons (e.g., any exposure vs. none) towards the null [ 27].

While the model also necessitated many assumptions about the water distribution system (for example, that all users drew the same amount of water), results from validation studies show good correlation between our exposure estimates and PCE concentrations in historical water samples (Spearman correlation coefficient = 0.65, P < 0.00010) [ 21].

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