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XBRL International has issued and reissued a stability pledge in relation to the core XBRL 2.1 specification. In addition to the core XBRL 2.1 specification, work continues on the development of XBRL modules that define new, compatible functionality. XBRL Dimensions – This module has achieved Recommendation status in 2005. A new edition of ...
XBRLS is designed to be 100% XBRL compliant. The stated goals of XBRLS are "to maximize XBRL's benefits, reduce costs of implementation, and maximize the functionality and effectiveness of XBRL". [1] XBRL is a general purpose specification, based on the idea that no one is likely to use 100% of the components of XBRL in building any one solution.
XBRL assurance covers different audit reports depending on the primary and secondary audit objects. To let the auditor to give an opinion on fair view is not obvious. An XBRL report (instance) contains little presentation metadata. More presentation metadata is needed to present the XBRL report in a human readable manner.
The XBRL Global Ledger Taxonomy Framework (XBRL GL) is a holistic and generic XML and XBRL-based representation of the detailed data that can be found in accounting and operational systems, and is meant to be the bridge from transactional standards to reporting standards, integrating the Business Reporting Supply Chain.
In computing, Machine Check Architecture (MCA) is an Intel and AMD mechanism in which the CPU reports hardware errors to the operating system.. Intel's P6 and Pentium 4 family processors, AMD's K7 and K8 family processors, as well as the Itanium architecture implement a machine check architecture that provides a mechanism for detecting and reporting hardware (machine) errors, such as: system ...
XBRL was originally the work of the AICPA, created as a way to advance financial reporting and facilitate the global exchange of financial data.XBRL International was created to ensure compatibility and agreement among industry members and to promote adoption of the standard around the world.
In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space .
Verification and validation of computer simulation models is conducted during the development of a simulation model with the ultimate goal of producing an accurate and credible model. [ 1 ] [ 2 ] "Simulation models are increasingly being used to solve problems and to aid in decision-making.
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