feat: updated

Author: MunishMummadi

lib/node_modules/@stdlib/stats/base/dists/uniform/mean/benchmark/benchmark.js

@@ -43,7 +43,7 @@ bench( pkg, function benchmark( b ) {
 
 	for ( i = 0; i < len; i++ ) {
 		a[ i ] = uniform( 0.0, 100.0 );
-		bval[ i ] = a[ i ] + uniform( 0.0, 50.0 );
+		bval[ i ] = uniform( a[ i ], a[ i ] + 50.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/uniform/mean/benchmark/benchmark.native.js

@@ -51,7 +51,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	bnd = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		a[ i ] = uniform( 0.0, 100.0 );
-		bnd[ i ] = a[ i ] + uniform( 0.0, 100.0 );
+		bnd[ i ] = uniform( a[ i ], a[ i ] + 100.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/uniform/median/benchmark/benchmark.js

@@ -43,7 +43,7 @@ bench( pkg, function benchmark( b ) {
 
 	for ( i = 0; i < len; i++ ) {
 		a[ i ] = uniform( 0.0, 100.0 );
-		bnd[ i ] = a[ i ] + uniform( 0.0, 50.0 );
+		bnd[ i ] = uniform( a[ i ], a[ i ] + 50.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/uniform/median/benchmark/benchmark.native.js

@@ -51,7 +51,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	bnd = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		a[ i ] = uniform( 0.0, 100.0 );
-		bnd[ i ] = a[ i ] + uniform( 0.0, 100.0 );
+		bnd[ i ] = uniform( a[ i ], a[ i ] + 100.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/uniform/pdf/benchmark/benchmark.js

@@ -46,7 +46,7 @@ bench( pkg, function benchmark( b ) {
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = uniformBase( -10.0, 10.0 );
 		min[ i ] = uniformBase( -20.0, 0.0 );
-		max[ i ] = min[ i ] + uniformBase( 0.0, 40.0 );
+		max[ i ] = uniformBase( min[ i ], min[ i ] + 40.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/uniform/pdf/benchmark/benchmark.native.js

@@ -54,7 +54,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = uniform( -10.0, 10.0 );
 		min[ i ] = uniform( -20.0, 0.0 );
-		max[ i ] = min[ i ] + uniform( 0.0, 40.0 );
+		max[ i ] = uniform( min[ i ], min[ i ] + 40.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/uniform/quantile/benchmark/benchmark.js

@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	for ( i = 0; i < b.iterations; i++ ) {
 		p = uniform( 0.0, 1.0 );
 		min = uniform( -20.0, 0.0 );
-		max = min + uniform( 0.0, 40.0 );
+		max = uniform( min, min + 40.0 );
 		y = quantile( p, min, max );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/uniform/skewness/benchmark/benchmark.js

@@ -38,7 +38,7 @@ bench( pkg, function benchmark( b ) {
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
 		min = uniform( 0.0, 10.0 );
-		max = uniform( 0.0, 10.0 ) + min;
+		max = uniform( min, min + 10.0 );
 		y = skewness( min, max );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );