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docs: clean-up of C docstrings
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lib/node_modules/@stdlib/stats/base/dists/arcsine/mean/src/main.c

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* @return expected value
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*
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* @example
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* double v = mean( 0.0, 1.0 );
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* double v = stdlib_base_dists_arcsine_mean( 0.0, 1.0 );
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* // returns 0.5
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*/
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double stdlib_base_dists_arcsine_mean( const double a, const double b ) {

lib/node_modules/@stdlib/stats/base/dists/arcsine/pdf/src/main.c

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* @return evaluated PDF
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*
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* @example
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* double y = stdlib_base_arcsine_pdf( 2.0, 0.0, 4.0 );
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* double y = stdlib_base_dists_arcsine_pdf( 2.0, 0.0, 4.0 );
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* // returns ~0.159
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*/
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double stdlib_base_dists_arcsine_pdf( const double x, const double a, const double b ) {

lib/node_modules/@stdlib/stats/base/dists/bernoulli/stdev/src/main.c

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* @return standard deviation
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*
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* @example
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* double y = stdlib_base_bernoulli_stdev( 0.1 );
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* double y = stdlib_base_dists_bernoulli_stdev( 0.1 );
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* // returns ~0.3
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*/
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double stdlib_base_dists_bernoulli_stdev( const double p ) {

lib/node_modules/@stdlib/stats/base/dists/beta/mean/src/main.c

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* @return evaluated value
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*
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* @example
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* double y = stdlib_base_beta_mean( 1.0, 1.0 );
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* double y = stdlib_base_dists_beta_mean( 1.0, 1.0 );
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* // returns 0.5
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*/
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double stdlib_base_dists_beta_mean( const double alpha, const double beta ) {

lib/node_modules/@stdlib/stats/base/dists/beta/mode/src/main.c

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* @return mode
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*
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* @example
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* double y = stdlib_base_beta_mode( 4.0, 12.0 );
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* double y = stdlib_base_dists_beta_mode( 4.0, 12.0 );
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* // returns ~0.214
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*/
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double stdlib_base_dists_beta_mode( const double alpha, const double beta ) {

lib/node_modules/@stdlib/stats/base/dists/beta/skewness/src/main.c

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* @return skewness
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*
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* @example
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* double y = stdlib_base_beta_skewness( 1.0, 1.0 );
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* double y = stdlib_base_dists_beta_skewness( 1.0, 1.0 );
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* // returns 0.0
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*/
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double stdlib_base_dists_beta_skewness( const double alpha, const double beta ) {

lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/src/main.c

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* Returns the excess kurtosis of a beta prime distribution.
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*
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* @param alpha first shape parameter
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* @param beta second shape paramter
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* @param beta second shape parameter
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* @return excess kurtosis
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*
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* @example

lib/node_modules/@stdlib/stats/base/dists/betaprime/skewness/src/main.c

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* Returns the skewness of a beta prime distribution.
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*
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* @param alpha first shape parameter
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* @param beta second shape paramter
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* @return stdandard deviation
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* @param beta second shape parameter
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* @return standard deviation
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*
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* @example
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* double y = stdlib_base_betaprime_skewness( 2.0, 4.0 );

lib/node_modules/@stdlib/stats/base/dists/betaprime/stdev/src/main.c

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* Returns the standard deviation of a beta prime distribution.
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*
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* @param alpha first shape parameter
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* @param beta second shape paramter
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* @return stdandard deviation
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* @param beta second shape parameter
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* @return standard deviation
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*
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* @example
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* double y = stdlib_base_betaprime_stdev( 1.0, 3.0 );

lib/node_modules/@stdlib/stats/base/dists/betaprime/variance/src/main.c

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* Returns the variance of a beta prime distribution.
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*
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* @param alpha first shape parameter
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* @param beta second shape paramter
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* @param beta second shape parameter
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* @return variance
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*
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* @example

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