The relationships between NDVI as an expression of recovery rates and aspect were also statistically investigated and quantified using a series of statistical metrics.
A number of statistical metrics, commonly used to evaluate the performance of diagnostic tests, can be calculated based on the TP, FP, TN, and FN values, e.g., specificity, sensitivity, accuracy positive predictive value (PPV), and negative predictive value (NPV) (Table II) (10, 11).
Another metric set used in texture analysis is Minkowski functionals, a family of statistical metrics able to characterise n-dimensional space geometrically and topologically (Arns et al., 2010).
Results This paper shows that Minkowski functionals – a set of statistical metrics that characterise geometry and topology in n-dimensional space – can be used to quantify tumour topology in the absence of and in response to therapeutic intervention.
Then, the statistical metrics were calculated for A with respect to B. The calculation of statistical metrics on 1,000 generations of random samples A and noisy samples B provided a distribution of statistical metrics for each dataset.
The performances of different algorithms are assessed and compared using three statistical metrics.
The significant results exhibited by the suggested one-parameter model in comparison to those of the other contenders were hydrologically justified using three statistical metrics and scatter plots.
This research used several statistical metrics and a new approach based on hypothesis testing of the Nash-Sutcliffe model efficiency coefficient (NSE) to evaluate model performance.
The SWAT model performance is represented using two statistical metrics – Root Mean Square Error (RMSE) and Nash Sutcliffe Efficiency (NSE) and two hydrological metrics – RunOff Coefficient Error (ROCE) and Slope of the Flow Duration Curve Error (SFDCE).
Last, we planned to test the robustness of our primary (mortality) results in sensitivity analyses by using fixed-effects models and by using two alternative statistical metrics: odds ratios and risk differences.
