Improve docs on calculation of arbitrary moments
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//! This crate provides estimators for statistics on a sequence of numbers. The
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//! typical workflow looks like this:
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//!
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//! 1. If necessary, build your custom estimator using [`concatenate`].
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//! 1. If necessary, build your custom estimator using [`concatenate`] or
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//! [`define_moments`].
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//! 2. Initialize the estimator of your choice with `new()`.
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//! 3. Add some subset (called "sample") of the sequence of numbers (called
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//! "population") for which you want to estimate the statistic, using `add()`
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@ -42,6 +43,7 @@
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//! ([`WeightedMeanWithError`]).
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//! * Variance ([`Variance`]), skewness ([`Skewness`]) and kurtosis
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//! ([`Kurtosis`]).
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//! * Arbitrary higher moments ([`define_moments`]).
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//! * Quantiles ([`Quantile`]).
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//! * Minimum ([`Min`]) and maximum ([`Max`]).
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//!
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@ -79,6 +81,7 @@
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//! [`Min`]: ./struct.Min.html
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//! [`Max`]: ./struct.Max.html
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//! [`concatenate`]: ./macro.concatenate.html
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//! [`define_moments`]: ./macro.define_moments.html
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//! [`define_histogram`]: ./macro.define_histogram.html
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//! [`Histogram10`]: ./struct.Histogram10.html
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//! [`Histogram`]: ./trait.Histogram.html
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