Sentence examples for models where data from inspiring English sources

Exact(1)

Models in which both ancillary and absorption variables were included, had the highest predictive capabilities (Radj2= 0.49 0.74 and lowest RMSE values) compared to models where data sources were derived from only one of the two groups.

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This unique application is a model example, where data across compounds and trials established efficacy in a subpopulation and allowed patients with a high unmet medical need to receive an approved drug >2 years earlier than the traditional need for a double-blind, placebo controlled study prior to approval.

Message passing specification implements a data push model, where data is always written.

The model has been formulated as a multi objective linear programming model where data are modeled by triangular fuzzy numbers.

By exploiting additional information able to improve classical inductive learning we propose a prediction model where data is naturally separated into several structured groups clustered by the size and annual turnover of the firms.

Trading data as a commodity has become increasingly popular in recent years, and data marketplaces have emerged as a new business model where data from a variety of sources can be collected, aggregated, processed, enriched, bought, and sold.

Peidro et al. (2009) proposed a fuzzy mixed integer linear programming model where data are ill known and modeled by triangular fuzzy numbers for supply chain planning under supply, process, and demand uncertainties.

The great fear, for Netflix, is that cable carriers will begin to charge per-gigabyte--a shift from the current model where data is unlimited up to a large cap.

The Perry Point DCC provided the following services for the GEMS Data Management Support Implementationn of a data flow model where data collection would take place at the individual countries and data would be sent to the DCC periodically where the study master database(s) would be established, maintained, and managed.

On the other hand, the GBD 2000 starts with data on the level of all-cause mortality, and uses all available data on cause of death and cause of death models where such data is not available, to estimate the distribution of major cause groups, including cancers.

We notice that there are huge works in economics and finance considering MLE of jump-diffusion models, where the data is usually observed discretely.

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