The phrase "adoption of a model" is correct and usable in written English.
It can be used when discussing the process of accepting or implementing a particular framework, system, or approach in various contexts, such as business, education, or research.
Example: "The adoption of a model for sustainable development is crucial for addressing climate change effectively."
Alternatives: "implementation of a model" or "acceptance of a model".
Adoption of a model format is premised upon agreement regarding content between industry and regulators, and ease of use.
Mr. Leonhardt's solution, learning from failure, is a good first step, but must be supplemented by the adoption of a model of the financial system that puts less faith in the self-regulation of markets.
The relative merits of hub and spoke models of service delivery are often debated, but accessing data on how they may benefit service delivery can be difficult, and may hinder the adoption of a model which can benefit the health community.
But across the board, the adoption of a model is absolutely central to any statistical procedure.
The adoption of a model theory based on Henkin models requires one to surrender all these applications.
To the best of our knowledge, this is the first work to investigate the adoption of a model that formally captures some aspects of the execution semantics of distributed SPEs.
The adoption of a model-free learning mechanism is done for an initial evaluation of reinforcement learning as a mean to calculate a road pricing policy.
While systems interoperability and syntactic issues can be managed with the estabilished standards of representation, codification, and exchange (XML, METS, Unicode, OAI-PMH, etc)., structural and semantic interoperability demands the adoption of a reference model that allows the integration of several models and the use of a unified terminology for indexing different sources of information.
Field test results provide insight into the barriers to the adoption of such a model in an SME, either as a decision support tool or as a knowledge acquisition and learning tool.
The adoption of such a model is usually grounded on two important specifications: the distributional assumptions regarding the baseline hazard and the assumption of unobserved heterogeneity (Bhat, 1996).
Although there are limitations associated with the 'error indicators' [49,108], the final adoption of a regression model will depend on a compromise between the judgement of the modeller and the satisfaction of the user.
