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  2. Propagation of uncertainty - Wikipedia

    https://en.wikipedia.org/wiki/Propagation_of_uncertainty

    Any non-linear differentiable function, (,), of two variables, and , can be expanded as + +. If we take the variance on both sides and use the formula [11] for the variance of a linear combination of variables ⁡ (+) = ⁡ + ⁡ + ⁡ (,), then we obtain | | + | | +, where is the standard deviation of the function , is the standard deviation of , is the standard deviation of and = is the ...

  3. Truncation error (numerical integration) - Wikipedia

    https://en.wikipedia.org/wiki/Truncation_error...

    Suppose we have a continuous differential equation ′ = (,), =, and we wish to compute an approximation of the true solution () at discrete time steps ,, …,.For simplicity, assume the time steps are equally spaced:

  4. TPS report - Wikipedia

    https://en.wikipedia.org/wiki/TPS_report

    A TPS report ("test procedure specification") is a document used by a quality assurance group or individual, particularly in software engineering, that describes the testing procedures and the testing process.

  5. Error analysis (mathematics) - Wikipedia

    https://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.

  6. Family-wise error rate - Wikipedia

    https://en.wikipedia.org/wiki/Family-wise_error_rate

    The procedures of Bonferroni and Holm control the FWER under any dependence structure of the p-values (or equivalently the individual test statistics).Essentially, this is achieved by accommodating a `worst-case' dependence structure (which is close to independence for most practical purposes).

  7. Heun's method - Wikipedia

    https://en.wikipedia.org/wiki/Heun's_method

    In mathematics and computational science, Heun's method may refer to the improved [1] or modified Euler's method (that is, the explicit trapezoidal rule [2]), or a similar two-stage Runge–Kutta method.

  8. Mean squared prediction error - Wikipedia

    https://en.wikipedia.org/wiki/Mean_squared_prediction_error

    When the model has been estimated over all available data with none held back, the MSPE of the model over the entire population of mostly unobserved data can be estimated as follows.

  9. Mean squared error - Wikipedia

    https://en.wikipedia.org/wiki/Mean_squared_error

    The MSE either assesses the quality of a predictor (i.e., a function mapping arbitrary inputs to a sample of values of some random variable), or of an estimator (i.e., a mathematical function mapping a sample of data to an estimate of a parameter of the population from which the data is sampled).