diff --git a/lib/node_modules/@stdlib/math/base/special/boxcox/test/test.js b/lib/node_modules/@stdlib/math/base/special/boxcox/test/test.js
index d0d5566c8ee7..204eda74f854 100644
--- a/lib/node_modules/@stdlib/math/base/special/boxcox/test/test.js
+++ b/lib/node_modules/@stdlib/math/base/special/boxcox/test/test.js
@@ -23,9 +23,8 @@
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var randu = require( '@stdlib/random/base/randu' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var boxcox = require( './../lib' );
 
 
@@ -94,8 +93,6 @@ tape( 'the function returns `NaN` if `x` is negative', function test( t ) {
 
 tape( 'the function computes a one-parameter Box-Cox transformation for positive medium numbers', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var y;
 	var b;
@@ -106,21 +103,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
 	y = mediumPositive.y;
 	for ( i = 0; i < expected.length; i++ ) {
 		b = boxcox( x[ i ], y[ i ] );
-		if ( b === expected[ i ] ) {
-			t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
-		} else {
-			delta = abs( expected[ i ] - b );
-			tol = 16.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( b, expected[ i ], 22 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function computes a one-parameter Box-Cox transformation for positive small numbers', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var y;
 	var b;
@@ -131,21 +120,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
 	y = smallPositive.y;
 	for ( i = 0; i < expected.length; i++ ) {
 		b = boxcox( x[ i ], y[ i ] );
-		if ( b === expected[ i ] ) {
-			t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
-		} else {
-			delta = abs( expected[ i ] - b );
-			tol = 16.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( b, expected[ i ], 29 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function computes a one-parameter Box-Cox transformation for tiny numbers', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var y;
 	var b;
@@ -156,21 +137,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny num
 	y = tiny.y;
 	for ( i = 0; i < expected.length; i++ ) {
 		b = boxcox( x[ i ], y[ i ] );
-		if ( b === expected[ i ] ) {
-			t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
-		} else {
-			delta = abs( expected[ i ] - b );
-			tol = 70.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( b, expected[ i ], 86 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function computes a one-parameter Box-Cox transformation for tiny lambda', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var y;
 	var b;
@@ -181,13 +154,7 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny lam
 	y = tinyLambda.y;
 	for ( i = 0; i < expected.length; i++ ) {
 		b = boxcox( x[ i ], y[ i ] );
-		if ( b === expected[ i ] ) {
-			t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
-		} else {
-			delta = abs( expected[ i ] - b );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( b, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/math/base/special/boxcox/test/test.native.js b/lib/node_modules/@stdlib/math/base/special/boxcox/test/test.native.js
index addccf074133..c8821d2458e1 100644
--- a/lib/node_modules/@stdlib/math/base/special/boxcox/test/test.native.js
+++ b/lib/node_modules/@stdlib/math/base/special/boxcox/test/test.native.js
@@ -24,9 +24,8 @@ var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var randu = require( '@stdlib/random/base/randu' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 
 
@@ -103,8 +102,6 @@ tape( 'the function returns `NaN` if `x` is negative', opts, function test( t )
 
 tape( 'the function computes a one-parameter Box-Cox transformation for positive medium numbers', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var y;
 	var b;
@@ -115,21 +112,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
 	y = mediumPositive.y;
 	for ( i = 0; i < expected.length; i++ ) {
 		b = boxcox( x[ i ], y[ i ] );
-		if ( b === expected[ i ] ) {
-			t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
-		} else {
-			delta = abs( expected[ i ] - b );
-			tol = 16.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( b, expected[ i ], 22 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function computes a one-parameter Box-Cox transformation for positive small numbers', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var y;
 	var b;
@@ -140,21 +129,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
 	y = smallPositive.y;
 	for ( i = 0; i < expected.length; i++ ) {
 		b = boxcox( x[ i ], y[ i ] );
-		if ( b === expected[ i ] ) {
-			t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
-		} else {
-			delta = abs( expected[ i ] - b );
-			tol = 16.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( b, expected[ i ], 29 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function computes a one-parameter Box-Cox transformation for tiny numbers', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var y;
 	var b;
@@ -165,21 +146,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny num
 	y = tiny.y;
 	for ( i = 0; i < expected.length; i++ ) {
 		b = boxcox( x[ i ], y[ i ] );
-		if ( b === expected[ i ] ) {
-			t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
-		} else {
-			delta = abs( expected[ i ] - b );
-			tol = 70.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( b, expected[ i ], 86 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function computes a one-parameter Box-Cox transformation for tiny lambda', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var y;
 	var b;
@@ -190,13 +163,7 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny lam
 	y = tinyLambda.y;
 	for ( i = 0; i < expected.length; i++ ) {
 		b = boxcox( x[ i ], y[ i ] );
-		if ( b === expected[ i ] ) {
-			t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
-		} else {
-			delta = abs( expected[ i ] - b );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( b, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });