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  2. Fan chart (statistics) - Wikipedia

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

    A dispersion fan diagram (left) in comparison with a box plot. A fan chart is made of a group of dispersion fan diagrams, which may be positioned according to two categorising dimensions. A dispersion fan diagram is a circular diagram which reports the same information about a dispersion as a box plot: namely median, quartiles, and two extreme ...

  3. Rob J. Hyndman - Wikipedia

    en.wikipedia.org/wiki/Rob_J._Hyndman

    Hyndman's MASE metric resolves these and can be used under any forecast generation method. [6] It allows for comparison between models due to its scale-free property. Hyndman studied statistics and mathematics at the University of Melbourne, where he earned a Bachelor of Science with first class honours and a PhD. [1]

  4. Mean absolute scaled error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_scaled_error

    It was proposed in 2005 by statistician Rob J. Hyndman and Professor ... Scale invariance: The ... as values greater than one indicate that in-sample one-step ...

  5. Percentile - Wikipedia

    en.wikipedia.org/wiki/Percentile

    The 25th percentile is also known as the first quartile (Q 1), the 50th percentile as the median or second quartile (Q 2), and the 75th percentile as the third quartile (Q 3). For example, the 50th percentile (median) is the score below (or at or below, depending on the definition) which 50% of the scores in the distribution are found.

  6. Quantile - Wikipedia

    en.wikipedia.org/wiki/Quantile

    Hyndman and Fan compiled a taxonomy of nine algorithms [2] used by various software packages. All methods compute Q p, the estimate for the p-quantile (the k-th q-quantile, where p = k/q) from a sample of size N by computing a real valued index h. When h is an integer, the h-th smallest of the N values, x h, is the quantile estimate.

  7. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    The first quartile (Q 1) is defined as the 25th percentile where lowest 25% data is below this point. It is also known as the lower quartile. The second quartile (Q 2) is the median of a data set; thus 50% of the data lies below this point. The third quartile (Q 3) is the 75th percentile where

  8. Normal curve equivalent - Wikipedia

    en.wikipedia.org/wiki/Normal_curve_equivalent

    In educational statistics, a normal curve equivalent (NCE), developed for the United States Department of Education by the RMC Research Corporation, [1] is a way of normalizing scores received on a test into a 0-100 scale similar to a percentile rank, but preserving the valuable equal-interval properties of a z-score.

  9. Norm-referenced test - Wikipedia

    en.wikipedia.org/wiki/Norm-referenced_test

    The SAT, Graduate Record Examination (GRE), and Wechsler Intelligence Scale for Children (WISC) compare individual student performance to the performance of a normative sample. Test takers cannot "fail" a norm-referenced test, as each test taker receives a score that compares the individual to others that have taken the test, usually given by a ...