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An alternative method is modelling a first-order autoregressive panel data model, adding lagged values of the dependent variable as regressor (Kaufman and Segura-Ubiergo 2001; Avelino et al. 2005; Wibbels 2006; Dion 2006; Lora 2009).
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This proposed method is modeled by a Markovian chain.
Gas condensate recovery by computer programming and finite difference method was modeled (Eilerts et al. 1965).
Framed tube system based on Kwan's method was modeled as cantilever beam with lumped mass model for each storey level.
A gas condensate reservoir including a mixture of three hydrocarbons with compositional and fully implicit method was modeled (Jones and Raghavan 1988).
The problem of accepting or rejecting a radiographic image based on the decision theory method was modeled here.
Much of our study's method was modelled upon a previous study assessing the quality of reporting of RCTs in general endocrinology literature [ 3].
This method was modeled on existing supervised methods, including Support Vector Machines and Artificial Neural Networks [ 17, 18], and facilitated the reliable identification of differentially-expressed genes in the absence of large independent datasets not currently available for PA.
An important feature of these methods is modeling support, which manifests itself through modeling notations.
First, the complexity of full and fast motion estimation methods is modeled in an implementation and platform independent manner.
For each of these methods, only the result generated from default settings (see Methods) is modeled using LCA; for non-default results, error rates are calculated as rescaled average posteriors based on the estimated model parameters.
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