diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/ctor/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/triangular/ctor/test/test.js
index ab4837ca3b91..40c399bf4056 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/triangular/ctor/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/triangular/ctor/test/test.js
@@ -28,6 +28,7 @@ var logcdf = require( '@stdlib/stats/base/dists/triangular/logcdf' );
 var logpdf = require( '@stdlib/stats/base/dists/triangular/logpdf' );
 var cdf = require( '@stdlib/stats/base/dists/triangular/cdf' );
 var pdf = require( '@stdlib/stats/base/dists/triangular/pdf' );
+var mgf = require( '@stdlib/stats/base/dists/triangular/mgf' );
 var kurtosis = require( '@stdlib/stats/base/dists/triangular/kurtosis' );
 var skewness = require( '@stdlib/stats/base/dists/triangular/skewness' );
 var variance = require( '@stdlib/stats/base/dists/triangular/variance' );
@@ -328,6 +329,19 @@ tape( 'the created distribution throws an error if one attempts to set `b` to a
 	}
 });
 
+tape( 'the created distribution has a property for getting and setting `c`', function test( t ) {
+	var triangular;
+
+	triangular = new Triangular( 2.0, 4.0, 2.5 );
+	t.strictEqual( hasOwnProp( triangular, 'c' ), true, 'has property' );
+	t.strictEqual( triangular.c, 2.5, 'returns expected value' );
+
+	triangular.c = 3.0;
+	t.strictEqual( triangular.c, 3.0, 'returns expected value' );
+
+	t.end();
+});
+
 tape( 'the created distribution throws an error if one attempts to set `c` to a value which is not a number primitive', function test( t ) {
 	var values;
 	var i;
@@ -525,6 +539,20 @@ tape( 'the distribution prototype has a method for evaluating the probability de
 	t.end();
 });
 
+tape( 'the distribution prototype has a method for evaluating the moment-generating function (MGF)', function test( t ) {
+	var triangular;
+	var y;
+
+	t.strictEqual( hasOwnProp( Triangular.prototype, 'mgf' ), true, 'has property' );
+	t.strictEqual( isFunction( Triangular.prototype.mgf ), true, 'has method' );
+
+	triangular = new Triangular();
+	y = triangular.mgf( 0.2 );
+
+	t.strictEqual( y, mgf( 0.2, 0.0, 1.0, 0.5 ), 'returns expected value' );
+	t.end();
+});
+
 tape( 'the distribution prototype has a method for evaluating the quantile function', function test( t ) {
 	var triangular;
 	var y;