diff --git a/lib/node_modules/@stdlib/stats/incr/covmat/test/test.js b/lib/node_modules/@stdlib/stats/incr/covmat/test/test.js
index ef533c2094de..3ca340d85252 100644
--- a/lib/node_modules/@stdlib/stats/incr/covmat/test/test.js
+++ b/lib/node_modules/@stdlib/stats/incr/covmat/test/test.js
@@ -21,8 +21,7 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var abs = require( '@stdlib/math/base/special/abs' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var ndarray = require( '@stdlib/ndarray/ctor' );
 var Float64Array = require( '@stdlib/array/float64' );
 var incrcovmat = require( './../lib' );
@@ -590,9 +589,7 @@ tape( 'the accumulator function incrementally computes an unbiased sample covari
 	var strides;
 	var actual;
 	var shape;
-	var delta;
 	var order;
-	var tol;
 	var acc;
 	var n;
 	var v;
@@ -635,13 +632,7 @@ tape( 'the accumulator function incrementally computes an unbiased sample covari
 			for ( k = 0; k < n; k++ ) {
 				v = actual.get( j, k );
 				e = expected[ i ][ (j*n)+k ];
-				if ( v === e ) {
-					t.strictEqual( v, e, 'returns expected result. i: '+i+'. j: '+j+'. k: '+k+'.' );
-				} else {
-					delta = abs( e - v );
-					tol = 3.0 * EPS * abs( e );
-					t.strictEqual( delta <= tol, true, 'i: '+i+'. j: '+j+'. k: '+k+'. expected: '+e+'. actual: '+v+'. tol: '+tol+'. delta: '+delta+'.' );
-				}
+				t.strictEqual( isAlmostSameValue( v, e, 3 ), true, 'returns expected value' );
 			}
 		}
 	}
@@ -654,9 +645,7 @@ tape( 'the accumulator function incrementally computes an unbiased sample covari
 	var actual;
 	var buffer;
 	var shape;
-	var delta;
 	var order;
-	var tol;
 	var acc;
 	var cov;
 	var n;
@@ -706,13 +695,7 @@ tape( 'the accumulator function incrementally computes an unbiased sample covari
 			for ( k = 0; k < n; k++ ) {
 				v = actual.get( j, k );
 				e = expected[ i ][ (j*n)+k ];
-				if ( v === e ) {
-					t.strictEqual( v, e, 'returns expected result. i: '+i+'. j: '+j+'. k: '+k+'.' );
-				} else {
-					delta = abs( e - v );
-					tol = 3.0 * EPS * abs( e );
-					t.strictEqual( delta <= tol, true, 'i: '+i+'. j: '+j+'. k: '+k+'. expected: '+e+'. actual: '+v+'. tol: '+tol+'. delta: '+delta+'.' );
-				}
+				t.strictEqual( isAlmostSameValue( v, e, 3 ), true, 'returns expected value' );
 			}
 		}
 	}
@@ -726,9 +709,7 @@ tape( 'the accumulator function incrementally computes an unbiased sample covari
 	var buffer;
 	var means;
 	var shape;
-	var delta;
 	var order;
-	var tol;
 	var acc;
 	var n;
 	var v;
@@ -774,13 +755,7 @@ tape( 'the accumulator function incrementally computes an unbiased sample covari
 			for ( k = 0; k < n; k++ ) {
 				v = actual.get( j, k );
 				e = expected[ i ][ (j*n)+k ];
-				if ( v === e ) {
-					t.strictEqual( v, e, 'returns expected result. i: '+i+'. j: '+j+'. k: '+k+'.' );
-				} else {
-					delta = abs( e - v );
-					tol = 3.0 * EPS * abs( e );
-					t.strictEqual( delta <= tol, true, 'i: '+i+'. j: '+j+'. k: '+k+'. expected: '+e+'. actual: '+v+'. tol: '+tol+'. delta: '+delta+'.' );
-				}
+				t.strictEqual( isAlmostSameValue( v, e, 0 ), true, 'returns expected value' );
 			}
 		}
 	}
@@ -794,9 +769,7 @@ tape( 'the accumulator function incrementally computes an unbiased sample covari
 	var buffer;
 	var means;
 	var shape;
-	var delta;
 	var order;
-	var tol;
 	var acc;
 	var cov;
 	var n;
@@ -848,13 +821,7 @@ tape( 'the accumulator function incrementally computes an unbiased sample covari
 			for ( k = 0; k < n; k++ ) {
 				v = actual.get( j, k );
 				e = expected[ i ][ (j*n)+k ];
-				if ( v === e ) {
-					t.strictEqual( v, e, 'returns expected result. i: '+i+'. j: '+j+'. k: '+k+'.' );
-				} else {
-					delta = abs( e - v );
-					tol = 3.0 * EPS * abs( e );
-					t.strictEqual( delta <= tol, true, 'i: '+i+'. j: '+j+'. k: '+k+'. expected: '+e+'. actual: '+v+'. tol: '+tol+'. delta: '+delta+'.' );
-				}
+				t.strictEqual( isAlmostSameValue( v, e, 0 ), true, 'returns expected value' );
 			}
 		}
 	}