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  2. Mode (statistics) - Wikipedia

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

    In statistics, the mode is the value that appears most often in a set of data values. [1] If X is a discrete random variable, the mode is the value x at which the probability mass function takes its maximum value (i.e., x=argmax x i P(X = x i)). In other words, it is the value that is most likely to be sampled.

  3. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

  4. Stress intensity factor - Wikipedia

    en.wikipedia.org/wiki/Stress_intensity_factor

    Mode III is a tearing (antiplane shear) mode where the crack surfaces move relative to one another and parallel to the leading edge of the crack. Mode I is the most common load type encountered in engineering design. Different subscripts are used to designate the stress intensity factor for the three different modes.

  5. Factor analysis - Wikipedia

    en.wikipedia.org/wiki/Factor_analysis

    These signatures can be identified as factors through R-mode factor analysis, and the location of possible sources can be suggested by contouring the factor scores. [ 54 ] In geochemistry , different factors can correspond to different mineral associations, and thus to mineralisation.

  6. Range mode query - Wikipedia

    en.wikipedia.org/wiki/Range_mode_query

    The mode of the block can be retrieved from . By Theorem 1, the mode can be either an element of the prefix (indices of [:] before the start of the span), an element of the suffix (indices of [:] after the end of the span), or .

  7. Triangular distribution - Wikipedia

    en.wikipedia.org/wiki/Triangular_distribution

    This distribution for a = 0, b = 1 and c = 0.5—the mode (i.e., the peak) is exactly in the middle of the interval—corresponds to the distribution of the mean of two standard uniform variables, that is, the distribution of X = (X 1 + X 2) / 2, where X 1, X 2 are two independent random variables with standard uniform distribution in [0, 1]. [1]

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  9. Multimodal distribution - Wikipedia

    en.wikipedia.org/wiki/Multimodal_distribution

    where p 1 and p 2 are the proportion contained in the primary (that with the greater amplitude) and secondary (that with the lesser amplitude) mode and φ 1 and φ 2 are the φ-sizes of the primary and secondary mode. The φ-size is defined as minus one times the log of the data size taken to the base 2. This transformation is commonly used in ...