fix: update test and documents

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---

Author: shubham220420

lib/node_modules/@stdlib/stats/base/dists/gilbrat/variance/README.md

@@ -124,22 +124,6 @@ logEachMap( 'σ: %lf, Var(X;σ): %lf', sigma, variance );
 
 <!-- /.examples -->
 
-<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
-
-<section class="references">
-
-</section>
-
-<!-- /.references -->
-
-<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
-
-<section class="related">
-
-</section>
-
-<!-- /.related -->
-
 <!-- Section for C API documentation. -->
 
 * * *
@@ -225,6 +209,14 @@ int main( void ) {
 
 <!-- /.c -->
 
+<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">

lib/node_modules/@stdlib/stats/base/dists/gilbrat/variance/benchmark/c/benchmark.c

@@ -92,8 +92,8 @@ static double random_uniform( const double min, const double max ) {
 * @return elapsed time in seconds
 */
 static double benchmark( void ) {
-	double elapsed;
 	double sigma[ 100 ];
+	double elapsed;
 	double y;
 	double t;
 	int i;

lib/node_modules/@stdlib/stats/base/dists/gilbrat/variance/lib/main.js

@@ -24,11 +24,6 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var E = require( '@stdlib/constants/float64/e' );
 
 
-// VARIABLES //
-
-var VARIANCE = E * ( E - 1.0 );
-
-
 // MAIN //
 
 /**
@@ -50,10 +45,12 @@ var VARIANCE = E * ( E - 1.0 );
 * // returns NaN
 */
 function variance( sigma ) {
+	var variance;
 	if ( isnan( sigma ) || sigma <= 0.0 ) {
 		return NaN;
 	}
-	return VARIANCE;
+	variance = E * ( E - 1.0 );
+	return variance;
 }
 
 

lib/node_modules/@stdlib/stats/base/dists/gilbrat/variance/test/test.js

@@ -44,6 +44,15 @@ tape( 'if provided `NaN` for `sigma`, the function returns `NaN`', function test
 	t.end();
 });
 
+tape( 'if provided non-positive value for `sigma`, the function returns `NaN`', function test( t ) {
+	var y = variance( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = variance( -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	t.end();
+});
+
 tape( 'the function returns the variance of a gilbrat distribution', function test( t ) {
 	var expected;
 	var sigma;

lib/node_modules/@stdlib/stats/base/dists/gilbrat/variance/test/test.native.js

@@ -53,6 +53,15 @@ tape( 'if provided `NaN`, the function returns `NaN`', opts, function test( t )
 	t.end();
 });
 
+tape( 'if provided non-positive value for `sigma`, the function returns `NaN`', opts, function test( t ) {
+	var y = variance( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = variance( -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	t.end();
+});
+
 tape( 'the function returns the variance of a gilbrat distribution', opts, function test( t ) {
 	var expected;
 	var sigma;