Sentence examples for statistical modelling approach from inspiring English sources

While univariate extreme value models provide the easiest statistical modelling approach to rainfall extremes, practitioners and researchers adopting statistical models without spatial dependence are liable to underestimate potential impacts.

This paper used a Bayesian statistical modelling approach 18 to underpin the SIC model, and its ability to accurately model sports injury data depends on both of these factors.

Using a general linear statistical modelling approach, photosynthesis and transpiration were modelled against leaf temperature separated into bands and the model parameters and coefficients applied to independent datasets to validate the model.

The statistical modelling approach used to develop the imputation model for the MI procedure was logistic regression, since the missing variable is a binary quantity.

The Plaid Model [ 16] is a statistical modelling approach which represents the input matrix as a superposition of layers where each layer corresponds to a bicluster.

Gaussian processes provide a popular statistical modelling approach in various fields, including spatial statistics and computer experiments.

Reviews comparing the examples where both ANN and regression methods had been used to derive prognostic models have found that overall ANNs are little better than classical statistical modelling approaches (Sargent, 2001), and misuses of ANNs in oncology are common (Schwarzer et al, 2000).

Traditional screening methods have used observed crash frequency or severity ranking criteria and statistical modelling approaches, despite the fact that crash-based methods are reactive.

He is using statistical modelling approaches to understand how natural environments and anthropogenic perturbations affect biological interactions, shape trends in population dynamics and influence community diversity.

The paper provides a rationale for future statistical modelling approaches for recurrent sports injury.

Furthermore, higher-level statistical modelling approaches that integrate patient clinical data as well as early treatment response data have already been used for personalising and optimising treatment schedules for chemo- and immunotherapies.