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Order statistic: Order statistic, Sample, Statistics, Ranking, Non-parametric statistics, Median, Quantile, Probability theory, Random sample, Continuous probability distribution - Tapa blanda

 
9786130338206: Order statistic: Order statistic, Sample, Statistics, Ranking, Non-parametric statistics, Median, Quantile, Probability theory, Random sample, Continuous probability distribution

Sinopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, the kth order statistic of a statistical sample is equal to its kth-smallest value. Together with rank statistics, order statistics are among the most fundamental tools in non-parametric statistics and inference. Important special cases of the order statistics are the minimum and maximum value of a sample, and (with some qualifications discussed below) the sample median and other sample quantiles. When using probability theory to analyze order statistics of random samples from a continuous distribution, the cumulative distribution function is used to reduce the analysis to the case of order statistics of the uniform distribution.

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Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, the kth order statistic of a statistical sample is equal to its kth-smallest value. Together with rank statistics, order statistics are among the most fundamental tools in non-parametric statistics and inference. Important special cases of the order statistics are the minimum and maximum value of a sample, and (with some qualifications discussed below) the sample median and other sample quantiles. When using probability theory to analyze order statistics of random samples from a continuous distribution, the cumulative distribution function is used to reduce the analysis to the case of order statistics of the uniform distribution.

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