diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/test/test.logpdf.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/test/test.logpdf.js
index 7d8e3542e592..fd6c67f681ce 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/test/test.logpdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/test/test.logpdf.js
@@ -22,10 +22,9 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var logpdf = require( './../lib' );
 
 
@@ -102,9 +101,7 @@ tape( 'if provided `sigma` equal to `0`, the function evaluates a degenerate dis
 
 tape( 'the function evaluates the logpdf for `x` given small scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -115,13 +112,7 @@ tape( 'the function evaluates the logpdf for `x` given small scale parameter `si
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpdf( x[i], sigma[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 15.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( y, expected[i], 24 ), true, 'returns expected value' );
 		}
 	}
 	t.end();
@@ -129,9 +120,7 @@ tape( 'the function evaluates the logpdf for `x` given small scale parameter `si
 
 tape( 'the function evaluates the logpdf for `x` given medium scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -142,13 +131,7 @@ tape( 'the function evaluates the logpdf for `x` given medium scale parameter `s
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpdf( x[i], sigma[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 3.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( y, expected[i], 2 ), true, 'returns expected value' );
 		}
 	}
 	t.end();
@@ -156,9 +139,7 @@ tape( 'the function evaluates the logpdf for `x` given medium scale parameter `s
 
 tape( 'the function evaluates the logpdf for `x` given large scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -169,13 +150,7 @@ tape( 'the function evaluates the logpdf for `x` given large scale parameter `si
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpdf( x[i], sigma[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 3.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( y, expected[i], 2 ), true, 'returns expected value' );
 		}
 	}
 	t.end();