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  2. Biplot - Wikipedia

    en.wikipedia.org/wiki/Biplot

    A biplot is constructed by using the singular value decomposition (SVD) to obtain a low-rank approximation to a transformed version of the data matrix X, whose n rows are the samples (also called the cases, or objects), and whose p columns are the variables.

  3. Log–log plot - Wikipedia

    en.wikipedia.org/wiki/Log–log_plot

    A log–log plot of y = x (blue), y = x 2 (green), and y = x 3 (red). Note the logarithmic scale markings on each of the axes, and that the log x and log y axes (where the logarithms are 0) are where x and y themselves are 1. Comparison of linear, concave, and convex functions when plotted using a linear scale (left) or a log scale (right).

  4. Slack variable - Wikipedia

    en.wikipedia.org/wiki/Slack_variable

    Slack variables give an embedding of a polytope into the standard f-orthant, where is the number of constraints (facets of the polytope). This map is one-to-one (slack variables are uniquely determined) but not onto (not all combinations can be realized), and is expressed in terms of the constraints (linear functionals, covectors).

  5. Moment (mathematics) - Wikipedia

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

    In mathematics, the moments of a function are certain quantitative measures related to the shape of the function's graph.If the function represents mass density, then the zeroth moment is the total mass, the first moment (normalized by total mass) is the center of mass, and the second moment is the moment of inertia.

  6. Dependent and independent variables - Wikipedia

    en.wikipedia.org/wiki/Dependent_and_independent...

    In mathematics, a function is a rule for taking an input (in the simplest case, a number or set of numbers) [5] and providing an output (which may also be a number). [5] A symbol that stands for an arbitrary input is called an independent variable, while a symbol that stands for an arbitrary output is called a dependent variable. [6]

  7. PERT distribution - Wikipedia

    en.wikipedia.org/wiki/PERT_distribution

    [2] [3] The PERT distribution is widely used in risk analysis [4] to represent the uncertainty of the value of some quantity where one is relying on subjective estimates, because the three parameters defining the distribution are intuitive to the estimator. The PERT distribution is featured in most simulation software tools.

  8. State-space representation - Wikipedia

    en.wikipedia.org/wiki/State-space_representation

    State-space models are applied in fields such as economics, [3] statistics, [4] computer science, electrical engineering, [5] and neuroscience. [6] In econometrics , for example, state-space models can be used to decompose a time series into trend and cycle, compose individual indicators into a composite index, [ 7 ] identify turning points of ...

  9. ExCeL London - Wikipedia

    en.wikipedia.org/wiki/ExCeL_London

    ExCeL London (an abbreviation for Exhibition Centre London) [3] is an international exhibition and convention centre in the Custom House area of Newham, East London. [4] The facility is situated on a 100-acre (0.40 km 2) site on the northern quay of the Royal Victoria Dock in London Docklands, located between Canary Wharf and London City Airport.