Add reference

Planeshifter · Planeshifter · commit 54dc30fc8d80 · 2017-11-01T01:35:14.000-04:00
diff --git a/docs/references/bib.bib b/docs/references/bib.bib
@@ -799,6 +799,21 @@ @article{temme:1992
 	year = {1992},
 }
 
+@article{marsaglia_tsang:2003,
+	abstract = {Kolmogorov's goodness-of-fit measure, \\( D_n \\), for a sample CDF has consistently been set aside for methods such as the D+n or D-n of Smirnov, primarily, it seems, because of the difficulty of computing the distribution of \\( D_n \\). As far as we know, no easy way to compute that distribution has ever been provided in the 70+ years since Kolmogorov's fundamental paper. We provide one here, a C procedure that provides \\( \Pr(D_n < d) \\) with 13-15 digit accuracy for n ranging from 2 to at least 16000. We assess the (rather slow) approach to limiting form, and because computing time can become excessive for probabilities >.999 with n's of several thousand, we provide a quick approximation that gives accuracy to the 7th digit for such cases.},
+	author = {George Marsaglia and Wai Wan Tsang and Jingbo Wang},
+	doi = {10.18637/jss.v008.i18},
+	journal = {Journal of Statistical Software},
+	issn = {1548-7660},
+	keywords = {},
+	number = {18},
+	pages = {1--4},
+	title = {{Evaluating Kolmogorov's Distribution}},
+	url = {https://www.jstatsoft.org/v008/i18},
+	volume = {8},
+	year = {2003},
+}
+
 @article{patefield:1981,
 	author = {W. M. Patefield},
 	issn = {1467-9876},
diff --git a/lib/node_modules/@stdlib/math/stats/kstest/lib/marsaglia.js b/lib/node_modules/@stdlib/math/stats/kstest/lib/marsaglia.js
@@ -14,7 +14,8 @@ var exp = require( '@stdlib/math/base/special/exp' );
 * Evaluates the Kolmogorov distribution. This function is a JavaScript implementation of a procedure developed by Marsaglia & Tsang.
 *
 * #### References
-* * Marsaglia, G., Tsang, W. W., & Wang, J. (2003). Evaluating Kolmogorov’s Distribution. Journal of Statistical Software, 8(18), 1–4. Retrieved from http://www.jstatsoft.org/v08/i18/paper
+*
+* * Marsaglia, George, Wai Wan Tsang, and Jingbo Wang. 2003. "Evaluating Kolmogorov's Distribution." *Journal of Statistical Software* 8 (18): 1–4. doi:[10.18637/jss.v008.i18](https://doi.org/10.18637/jss.v008.i18).
 *
 * @private
 * @param {number} d - the argument of the CDF of D_n

Original file line number	Diff line number	Diff line change
`@@ -14,7 +14,8 @@ var exp = require( '@stdlib/math/base/special/exp' );`
`14`	`14`	`* Evaluates the Kolmogorov distribution. This function is a JavaScript implementation of a procedure developed by Marsaglia & Tsang.`
`15`	`15`	`*`
`16`	`16`	`* #### References`
`17`		`-* * Marsaglia, G., Tsang, W. W., & Wang, J. (2003). Evaluating Kolmogorov’s Distribution. Journal of Statistical Software, 8(18), 1–4. Retrieved from http://www.jstatsoft.org/v08/i18/paper`
	`17`	`+*`
	`18`	`+* * Marsaglia, George, Wai Wan Tsang, and Jingbo Wang. 2003. "Evaluating Kolmogorov's Distribution." Journal of Statistical Software 8 (18): 1–4. doi:[10.18637/jss.v008.i18](https://doi.org/10.18637/jss.v008.i18).`
`18`	`19`	`*`
`19`	`20`	`* @private`
`20`	`21`	`* @param {number} d - the argument of the CDF of D_n`