Index: libs/math/example/binomial_confidence_limits.cpp
===================================================================
--- libs/math/example/binomial_confidence_limits.cpp	(revision 64642)
+++ libs/math/example/binomial_confidence_limits.cpp	(working copy)
@@ -56,14 +56,14 @@
       // Confidence value:
       cout << fixed << setprecision(3) << setw(10) << right << 100 * (1-alpha[i]);
       // Calculate Clopper Pearson bounds:
-      double l = binomial_distribution<>::find_lower_bound_on_p(trials, successes, alpha[i]/2);
-      double u = binomial_distribution<>::find_upper_bound_on_p(trials, successes, alpha[i]/2);
+      double l = boost::math::binomial_distribution<>::find_lower_bound_on_p(trials, successes, alpha[i]/2);
+      double u = boost::math::binomial_distribution<>::find_upper_bound_on_p(trials, successes, alpha[i]/2);
       // Print Clopper Pearson Limits:
       cout << fixed << setprecision(5) << setw(15) << right << l;
       cout << fixed << setprecision(5) << setw(15) << right << u;
       // Calculate Jeffreys Prior Bounds:
-      l = binomial_distribution<>::find_lower_bound_on_p(trials, successes, alpha[i]/2, binomial_distribution<>::jeffreys_prior_interval);
-      u = binomial_distribution<>::find_upper_bound_on_p(trials, successes, alpha[i]/2, binomial_distribution<>::jeffreys_prior_interval);
+      l = boost::math::binomial_distribution<>::find_lower_bound_on_p(trials, successes, alpha[i]/2, boost::math::binomial_distribution<>::jeffreys_prior_interval);
+      u = boost::math::binomial_distribution<>::find_upper_bound_on_p(trials, successes, alpha[i]/2, boost::math::binomial_distribution<>::jeffreys_prior_interval);
       // Print Jeffreys Prior Limits:
       cout << fixed << setprecision(5) << setw(15) << right << l;
       cout << fixed << setprecision(5) << setw(15) << right << u << std::endl;
Index: libs/math/example/binomial_sample_sizes.cpp
===================================================================
--- libs/math/example/binomial_sample_sizes.cpp	(revision 64642)
+++ libs/math/example/binomial_sample_sizes.cpp	(working copy)
@@ -56,7 +56,7 @@
       // Confidence value:
       cout << fixed << setprecision(3) << setw(10) << right << 100 * (1-alpha[i]);
       // calculate trials:
-      double t = binomial_distribution<>::find_maximum_number_of_trials(successes, p, alpha[i]);
+      double t = boost::math::binomial_distribution<>::find_maximum_number_of_trials(successes, p, alpha[i]);
       t = floor(t);
       // Print Trials:
       cout << fixed << setprecision(0) << setw(15) << right << t << endl;
Index: libs/math/test/test_lognormal.cpp
===================================================================
--- libs/math/test/test_lognormal.cpp	(revision 64642)
+++ libs/math/test/test_lognormal.cpp	(working copy)
@@ -246,7 +246,7 @@
    //
    // Error checks:
    //
-   BOOST_CHECK_THROW(lognormal_distribution<RealType>(0, -1), std::domain_error);
+   BOOST_CHECK_THROW(boost::math::lognormal_distribution<RealType>(0, -1), std::domain_error);
    BOOST_CHECK_THROW(pdf(dist, -1), std::domain_error);
    BOOST_CHECK_THROW(cdf(dist, -1), std::domain_error);
    BOOST_CHECK_THROW(cdf(complement(dist, -1)), std::domain_error);
Index: libs/math/test/test_normal.cpp
===================================================================
--- libs/math/test/test_normal.cpp	(revision 64642)
+++ libs/math/test/test_normal.cpp	(working copy)
@@ -261,17 +261,17 @@
        kurtosis_excess(dist)
        , static_cast<RealType>(0), tol2);
 
-    normal_distribution<RealType> norm01(0, 1); // Test default (0, 1)
+    boost::math::normal_distribution<RealType> norm01(0, 1); // Test default (0, 1)
     BOOST_CHECK_CLOSE(
        mean(norm01),
        static_cast<RealType>(0), 0); // Mean == zero
 
-    normal_distribution<RealType> defsd_norm01(0); // Test default (0, sd = 1)
+    boost::math::normal_distribution<RealType> defsd_norm01(0); // Test default (0, sd = 1)
     BOOST_CHECK_CLOSE(
        mean(defsd_norm01),
        static_cast<RealType>(0), 0); // Mean == zero
 
-    normal_distribution<RealType> def_norm01; // Test default (0, sd = 1)
+    boost::math::normal_distribution<RealType> def_norm01; // Test default (0, sd = 1)
     BOOST_CHECK_CLOSE(
        mean(def_norm01),
        static_cast<RealType>(0), 0); // Mean == zero
Index: libs/math/test/test_weibull.cpp
===================================================================
--- libs/math/test/test_weibull.cpp	(revision 64642)
+++ libs/math/test/test_weibull.cpp	(working copy)
@@ -318,8 +318,8 @@
    //
    // Error checks:
    //
-   BOOST_CHECK_THROW(weibull_distribution<RealType>(0, -1), std::domain_error);
-   BOOST_CHECK_THROW(weibull_distribution<RealType>(-1, 1), std::domain_error);
+   BOOST_CHECK_THROW(boost::math::weibull_distribution<RealType>(0, -1), std::domain_error);
+   BOOST_CHECK_THROW(boost::math::weibull_distribution<RealType>(-1, 1), std::domain_error);
    BOOST_CHECK_THROW(pdf(dist, -1), std::domain_error);
    BOOST_CHECK_THROW(cdf(dist, -1), std::domain_error);
    BOOST_CHECK_THROW(cdf(complement(dist, -1)), std::domain_error);