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  2. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    When using approximation equations or algorithms, especially when using finitely many digits to represent real numbers (which in theory have infinitely many digits), one of the goals of numerical analysis is to estimate computation errors. [5] Computation errors, also called numerical errors, include both truncation errors and roundoff errors.

  3. Error analysis (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Error_analysis_(mathematics)

    The analysis of errors computed using the global positioning system is important for understanding how GPS works, and for knowing what magnitude errors should be expected. The Global Positioning System makes corrections for receiver clock errors and other effects but there are still residual errors which are not corrected.

  4. Average variance extracted - Wikipedia

    en.wikipedia.org/wiki/Average_variance_extracted

    The average variance extracted has often been used to assess discriminant validity based on the following "rule of thumb": the positive square root of the AVE for each of the latent variables should be higher than the highest correlation with any other latent variable.

  5. Materiality (auditing) - Wikipedia

    en.wikipedia.org/wiki/Materiality_(auditing)

    The objective of an audit of financial statements is to enable the auditor to express an opinion on whether the financial statements are prepared, in all material respects, in conformity with an identified financial reporting framework, such as the Generally Accepted Accounting Principles (GAAP) which is the accounting standard adopted by the U ...

  6. Human error assessment and reduction technique - Wikipedia

    en.wikipedia.org/wiki/Human_error_assessment_and...

    A reliability engineer has the task of assessing the probability of a plant operator failing to carry out the task of isolating a plant bypass route as required by procedure.

  7. Sensitivity analysis - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_analysis

    Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. [1] [2] This involves estimating sensitivity indices that quantify the influence of an input or group of inputs on the output.

  8. Beneish M-score - Wikipedia

    en.wikipedia.org/wiki/Beneish_M-Score

    Beneish M-score is a probabilistic model, so it cannot detect companies that manipulate their earnings with 100% accuracy. Financial institutions were excluded from the sample in Beneish paper when calculating M-score since these institutions make money through different routes.

  9. Technique for human error-rate prediction - Wikipedia

    en.wikipedia.org/wiki/Technique_for_human_error...

    THERP is a first-generation methodology, which means that its procedures follow the way conventional reliability analysis models a machine. [3] The technique was developed in the Sandia Laboratories for the US Nuclear Regulatory Commission. [4]