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  2. Sturges's rule - Wikipedia

    en.wikipedia.org/wiki/Sturges's_rule

    Sturges's rule [1] is a method to choose the number of bins for a histogram.Given observations, Sturges's rule suggests using ^ = + ⁡ bins in the histogram. This rule is widely employed in data analysis software including Python [2] and R, where it is the default bin selection method.

  3. Peirce's criterion - Wikipedia

    en.wikipedia.org/wiki/Peirce's_criterion

    K. Thomsen identified that three parameters were needed to perform the calculation: the number of observation pairs (N), the number of outliers to be removed (n), and the number of regression parameters (e.g., coefficients) used in the curve-fitting to get the residuals (m).

  4. Studentized range distribution - Wikipedia

    en.wikipedia.org/wiki/Studentized_range_distribution

    Suppose that we take a sample of size n from each of k populations with the same normal distribution N(μ, σ 2) and suppose that ¯ is the smallest of these sample means and ¯ is the largest of these sample means, and suppose s² is the pooled sample variance from these samples. Then the following statistic has a Studentized range distribution.

  5. Lorenz 96 model - Wikipedia

    en.wikipedia.org/wiki/Lorenz_96_model

    The Lorenz 96 model is a dynamical system formulated by Edward Lorenz in 1996. [1] It is defined as follows. For =,...,: = (+) + where it is assumed that =, = and + = and .Here is the state of the system and is a forcing constant.

  6. Aggregate pattern - Wikipedia

    en.wikipedia.org/wiki/Aggregate_pattern

    An Aggregate pattern can refer to concepts in either statistics or computer programming. Both uses deal with considering a large case as composed of smaller, simpler, pieces. Both uses deal with considering a large case as composed of smaller, simpler, pieces.

  7. Count-distinct problem - Wikipedia

    en.wikipedia.org/wiki/Count-distinct_problem

    In computer science, the count-distinct problem [1] (also known in applied mathematics as the cardinality estimation problem) is the problem of finding the number of distinct elements in a data stream with repeated elements. This is a well-known problem with numerous applications.

  8. Order statistic - Wikipedia

    en.wikipedia.org/wiki/Order_statistic

    The sample median may or may not be an order statistic, since there is a single middle value only when the number n of observations is odd. More precisely, if n = 2m+1 for some integer m, then the sample median is (+) and so is an order statistic.

  9. Statistical data type - Wikipedia

    en.wikipedia.org/wiki/Statistical_data_type

    The following table classifies the various simple data types, associated distributions, permissible operations, etc. Regardless of the logical possible values, all of these data types are generally coded using real numbers, because the theory of random variables often explicitly assumes that they hold real numbers.