docs: remove extended comment

Signed-off-by: Athan <[email protected]>

Author: kgryte

lib/node_modules/@stdlib/stats/incr/nanstdev/lib/main.js

@@ -29,45 +29,6 @@ var incrstdev = require( '@stdlib/stats/incr/stdev' );
 /**
 * Returns an accumulator function which incrementally computes a corrected sample standard deviation, ignoring `NaN` values.
 *
-* ## Method
-*
-* -   This implementation uses Welford's algorithm for efficient computation, which can be derived as follows. Let
-*
-*     ```tex
-*     \begin{align*}
-*     S_n &= n \sigma_n^2 \\
-*         &= \sum_{i=1}^{n} (x_i - \mu_n)^2 \\
-*         &= \biggl(\sum_{i=1}^{n} x_i^2 \biggr) - n\mu_n^2
-*     \end{align*}
-*     ```
-*
-*     Accordingly,
-*
-*     ```tex
-*     \begin{align*}
-*     S_n - S_{n-1} &= \sum_{i=1}^{n} x_i^2 - n\mu_n^2 - \sum_{i=1}^{n-1} x_i^2 + (n-1)\mu_{n-1}^2 \\
-*                   &= x_n^2 - n\mu_n^2 + (n-1)\mu_{n-1}^2 \\
-*                   &= x_n^2 - \mu_{n-1}^2 + n(\mu_{n-1}^2 - \mu_n^2) \\
-*                   &= x_n^2 - \mu_{n-1}^2 + n(\mu_{n-1} - \mu_n)(\mu_{n-1} + \mu_n) \\
-*                   &= x_n^2 - \mu_{n-1}^2 + (\mu_{n-1} - x_n)(\mu_{n-1} + \mu_n) \\
-*                   &= x_n^2 - \mu_{n-1}^2 + \mu_{n-1}^2 - x_n\mu_n - x_n\mu_{n-1} + \mu_n\mu_{n-1} \\
-*                   &= x_n^2 - x_n\mu_n - x_n\mu_{n-1} + \mu_n\mu_{n-1} \\
-*                   &= (x_n - \mu_{n-1})(x_n - \mu_n) \\
-*                   &= S_{n-1} + (x_n - \mu_{n-1})(x_n - \mu_n)
-*     \end{align*}
-*     ```
-*
-*     where we use the identity
-*
-*     ```tex
-*     x_n - \mu_{n-1} = n (\mu_n - \mu_{n-1})
-*     ```
-*
-* ## References
-*
-* -   Welford, B. P. 1962. "Note on a Method for Calculating Corrected Sums of Squares and Products." _Technometrics_ 4 (3). Taylor & Francis: 419–20. doi:[10.1080/00401706.1962.10490022](https://doi.org/10.1080/00401706.1962.10490022).
-* -   van Reeken, A. J. 1968. "Letters to the Editor: Dealing with Neely's Algorithms." _Communications of the ACM_ 11 (3): 149–50. doi:[10.1145/362929.362961](https://doi.org/10.1145/362929.362961).
-*
 * @param {number} [mean] - mean value
 * @throws {TypeError} must provide a number primitive
 * @returns {Function} accumulator function