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  2. 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 ...

  3. Scale parameter - Wikipedia

    en.wikipedia.org/wiki/Scale_parameter

    Animation showing the effects of a scale parameter on a probability distribution supported on the positive real line. Effect of a scale parameter over a mixture of two normal probability distributions. If the probability density exists for all values of the complete parameter set, then the density (as a function of the scale parameter only ...

  4. Scale analysis (mathematics) - Wikipedia

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

    Scale analysis anticipates within a factor of order one when done properly, the expensive results produced by exact analyses. Scale analysis rules as follows: Rule1-First step in scale analysis is to define the domain of extent in which we apply scale analysis. Any scale analysis of a flow region that is not uniquely defined is not valid.

  5. Probabilistic numerics - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_numerics

    The interplay between numerical analysis and probability is touched upon by a number of other areas of mathematics, including average-case analysis of numerical methods, information-based complexity, game theory, and statistical decision theory. Precursors to what is now being called "probabilistic numerics" can be found as early as the late ...

  6. Bayesian inference - Wikipedia

    en.wikipedia.org/wiki/Bayesian_inference

    Bayesian inference (/ ˈ b eɪ z i ə n / BAY-zee-ən or / ˈ b eɪ ʒ ən / BAY-zhən) [1] is a method of statistical inference in which Bayes' theorem is used to calculate a probability of a hypothesis, given prior evidence, and update it as more information becomes available.

  7. Erlang distribution - Wikipedia

    en.wikipedia.org/wiki/Erlang_distribution

    The probability density function of the Erlang distribution is (;,) = ()!,,The parameter k is called the shape parameter, and the parameter is called the rate parameter.. An alternative, but equivalent, parametrization uses the scale parameter , which is the reciprocal of the rate parameter (i.e., = /):

  8. Scale (analytical tool) - Wikipedia

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

    [2] [3] This analytical tool is central to multi-scale analysis (see for example, MuSIASEM, land-use analysis). [4] For example, on at the scale of analysis of a given population of zebras, the number of predators (e.g. lions) determines the number of preys that survives after hunting, while at the scale of analysis of the ecosystem, the ...

  9. Rice distribution - Wikipedia

    en.wikipedia.org/wiki/Rice_distribution

    The probability density function is (,) = ⁡ ((+)) (),where I 0 (z) is the modified Bessel function of the first kind with order zero.. In the context of Rician fading, the distribution is often also rewritten using the Shape Parameter =, defined as the ratio of the power contributions by line-of-sight path to the remaining multipaths, and the Scale parameter = +, defined as the total power ...