Descriptive statistics, Confirmatory Factor Analysis and Structural Equation Modeling were used for analyzing the data.
Matroids and greedoids modeling were used in the past to approach greedy-solvable problems.
Sobel's product of coefficients test and lower-level mediation modeling were used to evaluate these predictions.
According to reservoir complexity usually neural network and neuro-fuzzy modeling were used.
Student t tests, χ2, repeated measure analysis of variance, Pearson correlation coefficients, and linear regression modeling were used as appropriate.
High resolution Differential Thermal Analysis (DTA) and thermodynamic modeling were used to design and perform solution heat treatment experiments.
Analytical and finite element (FE) modeling were used to design the bimorph actuator with an attached mirror on the tip.
Motion capture, ultrasound, and musculoskeletal modeling were used to quantify MG and AT lengths with each AFO condition.
In the model, the numerical methods and the submodels conventionally used for the pulverized coal combustion modeling were used.
13C NMR spectroscopy experiments and molecular modeling were used to explore the configuration of the polymerized carbazole phenoxy-based methacrylate.
Starting from HTS hit 1a, X-ray co-crystallization and molecular modeling were used to design potent and selective inhibitors of PI3-kinase.
