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  2. Informant (statistics) - Wikipedia

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

    In these broader applications, the term "score" or "efficient score" started to refer more commonly to the derivative of the log-likelihood function of the statistical model in question. This conceptual expansion was significantly influenced by a 1948 paper by C. R. Rao, which introduced "efficient score tests" that employed the derivative of ...

  3. Highest averages method - Wikipedia

    en.wikipedia.org/wiki/Highest_averages_method

    For a given constant p, the power mean method has signpost function post(k) = p √ k p + (k+1) p. The Huntington-Hill method corresponds to the limit as p tends to 0, while Adams and Jefferson represent the limits as p tends to negative or positive infinity.

  4. Percentile rank - Wikipedia

    en.wikipedia.org/wiki/Percentile_rank

    Occasionally the percentile rank of a score is mistakenly defined as the percentage of scores lower than or equal to it [citation needed], but that would require a different computation, one with the 0.5 × F term deleted. Typically percentile ranks are only computed for scores in the distribution but, as the figure illustrates, percentile ...

  5. List of highest scores in figure skating - Wikipedia

    en.wikipedia.org/wiki/List_of_highest_scores_in...

    Highest scores in men's singles by segment [7] Segment Type Skater Nation Score Event Combined Total TSS: Nathan Chen USA 335.30: 2019–20 Grand Prix Final [8]: Short program

  6. Highest response ratio next - Wikipedia

    en.wikipedia.org/wiki/Highest_response_ratio_next

    Given a Linked list Q, iterate through Q to find the highest ratio by comparing each ratio within the queue. Once a ratio of element N is greater than the element M with the highest ratio replace element M with element N as the highest ratio element in the list. Once the end of the list is reached dequeue the highest ratio element.

  7. Truncated mean - Wikipedia

    en.wikipedia.org/wiki/Truncated_mean

    A truncated mean or trimmed mean is a statistical measure of central tendency, much like the mean and median. It involves the calculation of the mean after discarding given parts of a probability distribution or sample at the high and low end, and typically discarding an equal amount of both. This number of points to be discarded is usually ...

  8. Point estimation - Wikipedia

    en.wikipedia.org/wiki/Point_estimation

    In general, with a normally-distributed sample mean, Ẋ, and with a known value for the standard deviation, σ, a 100(1-α)% confidence interval for the true μ is formed by taking Ẋ ± e, with e = z 1-α/2 (σ/n 1/2), where z 1-α/2 is the 100(1-α/2)% cumulative value of the standard normal curve, and n is the number of data values in that ...

  9. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    If the mean =, the first factor is 1, and the Fourier transform is, apart from a constant factor, a normal density on the frequency domain, with mean 0 and variance /. In particular, the standard normal distribution φ {\textstyle \varphi } is an eigenfunction of the Fourier transform.