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Exact(31)
This paper presents a model building strategy that consider the multivariate uncertainty as weighting matrix for the principal components.
The algorithm uses a scale-by-scale model building strategy that searches for B-splines at each scale fitting adequately to the data and provides smoother approximations than the original Multivariate Adaptive Regression Splines (MARS).
We implemented a two-level model building strategy.
In many areas of applied statistics it still is common practice to develop the model building strategy during the data analysis, and then to treat the finally selected model as if it was known in advance.
A multivariate model for risk of tinnitus was estimated by means of logistic regression using stepwise inclusion/exclusion of potential predictor variables (pin = 0.05, pout = 0.10) as model building strategy.
We pursued an incremental model building strategy.
Similar(29)
Emphasizes model building strategies, analytical and computational methods, and how scientific problems motivate new mathematics.
Appropriate model building strategies and model checking will be employed.
These covariates for the multivariable model were selected based on standard model building strategies [ 30].
Three kinds of model building strategies are proposed, different in the degree of integration.
Several authors have provided model building strategies [ 29] and approaches for treatment selection [ 20, 30, 68].
More suggestions(15)
model migration strategy
model building step
model validation strategy
model core strategy
model building work
model building process
model adaptation strategy
model building method
model building procedure
model selection strategy
model abstraction strategy
model management strategy
model monetization strategy
model prediction strategy
model game strategy
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