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  2. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    Verification and validation (also abbreviated as V&V) are independent procedures that are used together for checking that a product, service, or system meets requirements and specifications and that it fulfills its intended purpose.

  3. ChexSystems - Wikipedia

    en.wikipedia.org/wiki/ChexSystems

    Woodbury, Minnesota. , United States. Parent. FIS. Website. chexsystems .com. ChexSystems is an American check verification service and consumer reporting agency owned by the eFunds subsidiary of Fidelity National Information Services. It provides information about the use of deposit accounts by consumers.

  4. Monte Carlo method - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_method

    The approximation of a normal distribution with a Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.

  5. Engineering validation test - Wikipedia

    en.wikipedia.org/wiki/Engineering_validation_test

    Engineering verification testing (EVT) is used on prototypes to verify that the design meets pre-determined specifications and design goals. This valuable information is used to validate the design as is, or identify areas that need to be modified.

  6. Check verification service - Wikipedia

    en.wikipedia.org/wiki/Check_verification_service

    In the United States, there are a number of third-party companies that provide check verification services. Some banks bundle a level of this service with a business checking account or with a bank credit card acceptance program. Check verification companies will often offer one, two, or all of the different services in their own system.

  7. Cross-validation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Cross-validation_(statistics)

    Cross-validation, [2] [3] [4] sometimes called rotation estimation [5] [6] [7] or out-of-sample testing, is any of various similar model validation techniques for assessing how the results of a statistical analysis will generalize to an independent data set.

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