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  2. Simulation decomposition - Wikipedia

    en.wikipedia.org/wiki/Simulation_decomposition

    Assign scenarios to each output value. The simulation data is used to define the scenario index for each simulation run. For example, if an X2 value falls into the low state and X3 is equal to 2, the corresponding scenario, defined in Step 3, is (ii). Color-code the output distribution. When all output values are assigned scenario indices, they ...

  3. Model output statistics - Wikipedia

    en.wikipedia.org/wiki/Model_output_statistics

    In weather forecasting, model output statistics (MOS) is a multiple linear regression technique in which predictands, often near-surface quantities (such as two-meter-above-ground-level air temperature, horizontal visibility, and wind direction, speed and gusts), are related statistically to one or more predictors.

  4. Verification and validation of computer simulation models

    en.wikipedia.org/wiki/Verification_and...

    Comparing curves with fixed sample size tradeoffs between model builder's risk and model user's risk can be seen easily in the risk curves. [7] If model builder's risk, model user's risk, and the upper and lower limits for the range of accuracy are all specified then the sample size needed can be calculated. [7]

  5. HIPO model - Wikipedia

    en.wikipedia.org/wiki/HIPO_model

    HIPO model (hierarchical input process output model) is a systems analysis design aid and documentation technique from the 1970s, [1] used for representing the modules of a system as a hierarchy and for documenting each module.

  6. Catastrophe modeling - Wikipedia

    en.wikipedia.org/wiki/Catastrophe_modeling

    The output of a cat model is an estimate of the losses that the model predicts would be associated with a particular event or set of events. When running a probabilistic model , the output is either a probabilistic loss distribution or a set of events that could be used to create a loss distribution; probable maximum losses ("PMLs") and average ...

  7. Latent Dirichlet allocation - Wikipedia

    en.wikipedia.org/wiki/Latent_Dirichlet_allocation

    The LDA is an example of a Bayesian topic model. In this, observations (e.g., words) are collected into documents, and each word's presence is attributable to one of the document's topics. Each document will contain a small number of topics.

  8. Waste input-output model - Wikipedia

    en.wikipedia.org/wiki/Waste_Input-Output_Model

    Here represents the square matrix of input coefficients, denotes releases (such as emissions or waste) per unit of output or the intervention matrix, stands for the vector of final demand (or functional unit), is the identity matrix, and represents the resulting releases (For further details, refer to the input-output model).

  9. IPO model - Wikipedia

    en.wikipedia.org/wiki/IPO_Model

    The input–process–output model. The input–process–output (IPO) model, or input-process-output pattern, is a widely used approach in systems analysis and software engineering for describing the structure of an information processing program or other process. Many introductory programming and systems analysis texts introduce this as the ...

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