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  2. Nondimensionalization - Wikipedia

    en.wikipedia.org/wiki/Nondimensionalization

    For example, if x is a quantity, then x c is the characteristic unit used to scale it. As an illustrative example, consider a first order differential equation with constant coefficients: + = (). In this equation the independent variable here is t, and the dependent variable is x.

  3. Scale analysis (statistics) - Wikipedia

    en.wikipedia.org/wiki/Scale_analysis_(statistics)

    In statistics, scale analysis is a set of methods to analyze survey data, in which responses to questions are combined to measure a latent variable. These items can ...

  4. Best–worst scaling - Wikipedia

    en.wikipedia.org/wiki/Best–worst_scaling

    multinomial discrete choice analysis, in particular multinomial logit (strictly speaking the conditional logit, although the two terms are now used interchangeably). The multinomial logit (MNL) model is often the first stage in analysis and provides a measure of average utility for the attribute levels or objects (depending on the Case).

  5. Scale (analytical tool) - Wikipedia

    en.wikipedia.org/wiki/Scale_(analytical_tool)

    The scale of analysis encompasses both the analytical choice of how to observe a given system or object of study, and the role of the observer in determining the identity of the system. [ 2 ] [ 3 ] This analytical tool is central to multi-scale analysis (see for example, MuSIASEM , land-use analysis).

  6. Multidimensional scaling - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_scaling

    The first question could be for Coke/Pepsi for example, the next for Coke/Hires rootbeer, the next for Pepsi/Dr Pepper, the next for Dr Pepper/Hires rootbeer, etc. The number of questions is a function of the number of brands and can be calculated as Q = N ( N − 1 ) / 2 {\displaystyle Q=N(N-1)/2} where Q is the number of questions and N is ...

  7. Deviation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Deviation_(statistics)

    To make deviations unitless and facilitate comparisons across different datasets, one can nondimensionalize. One common method involves dividing deviations by a measure of scale( statistical dispersion ), with the population standard deviation used for standardizing or the sample standard deviation for studentizing (e.g., Studentized residual ).

  8. Dimensional analysis - Wikipedia

    en.wikipedia.org/wiki/Dimensional_analysis

    A simple application of dimensional analysis to mathematics is in computing the form of the volume of an n-ball (the solid ball in n dimensions), or the area of its surface, the n-sphere: being an n-dimensional figure, the volume scales as x n, while the surface area, being (n − 1)-dimensional, scales as x n−1.

  9. Dimensionless quantity - Wikipedia

    en.wikipedia.org/wiki/Dimensionless_quantity

    [19] [20] Examples of quotients of dimension one include calculating slopes or some unit conversion factors. Another set of examples is mass fractions or mole fractions, often written using parts-per notation such as ppm (= 10 −6), ppb (= 10 −9), and ppt (= 10 −12), or perhaps confusingly as ratios of two identical units (kg/kg or mol/mol).

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