diff --git a/examples/quick_start/quick_start.ipynb b/examples/quick_start/quick_start.ipynb
index 8c8862c..a679a21 100644
--- a/examples/quick_start/quick_start.ipynb
+++ b/examples/quick_start/quick_start.ipynb
@@ -467,14 +467,14 @@
      "output_type": "stream",
      "text": [
       "Model 01 fitted finished, Error: 0.51274, Status: Maximum iteration reached\n",
-      "Model 02 fitted finished, Error: 0.33991, Status: Success\n",
+      "Model 02 fitted finished, Error: 0.33703, Status: Success\n",
       "Model 03 fitted finished, Error: 1.16522, Status: Maximum iteration reached\n",
       "Model 04 fitted finished, Error: 0.95356, Status: Maximum iteration reached\n",
       "Model 05 fitted finished, Error: 0.73477, Status: Maximum iteration reached\n",
       "Model 06 fitted finished, Error: 0.50834, Status: Maximum iteration reached\n",
-      "Model 07 fitted finished, Error: 0.10069, Status: Success\n",
-      "Model 08 fitted finished, Error: 0.39123, Status: Success\n",
-      "Model 09 fitted finished, Error: 0.12484, Status: Success\n",
+      "Model 07 fitted finished, Error: 0.23935, Status: Success\n",
+      "Model 08 fitted finished, Error: 0.46087, Status: Success\n",
+      "Model 09 fitted finished, Error: 0.18395, Status: Success\n",
       "Model 10 fitted finished, Error: 0.48132, Status: Success\n",
       "Model 11 fitted finished, Error: 1.53225, Status: Maximum iteration reached\n",
       "Model 12 fitted finished, Error: 2.83350, Status: Maximum iteration reached\n"
@@ -483,6 +483,7 @@
    ],
    "source": [
     "from pybl.models import BLRPRx\n",
+    "from concurrent.futures import ThreadPoolExecutor\n",
     "\n",
     "BLRPRx_models: list[BLRPRx] = []\n",
     "results: list[dict] = []\n",
@@ -598,51 +599,51 @@
        "      <th>Jan.</th>\n",
        "      <td>0.012927</td>\n",
        "      <td>0.026185</td>\n",
-       "      <td>0.792360</td>\n",
-       "      <td>0.794979</td>\n",
-       "      <td>0.182908</td>\n",
-       "      <td>0.999193</td>\n",
-       "      <td>0.220716</td>\n",
+       "      <td>0.792368</td>\n",
+       "      <td>0.794990</td>\n",
+       "      <td>0.182909</td>\n",
+       "      <td>3.104458</td>\n",
+       "      <td>0.220714</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Feb.</th>\n",
-       "      <td>0.012272</td>\n",
-       "      <td>0.033338</td>\n",
-       "      <td>1.007502</td>\n",
-       "      <td>0.982218</td>\n",
-       "      <td>0.236826</td>\n",
-       "      <td>0.999000</td>\n",
-       "      <td>0.203081</td>\n",
+       "      <td>0.012355</td>\n",
+       "      <td>0.033729</td>\n",
+       "      <td>1.052670</td>\n",
+       "      <td>0.964153</td>\n",
+       "      <td>0.229199</td>\n",
+       "      <td>5.444216</td>\n",
+       "      <td>0.195587</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mar.</th>\n",
-       "      <td>0.015295</td>\n",
-       "      <td>0.027197</td>\n",
-       "      <td>0.572306</td>\n",
-       "      <td>0.951545</td>\n",
-       "      <td>0.154677</td>\n",
-       "      <td>0.999000</td>\n",
-       "      <td>0.219535</td>\n",
+       "      <td>0.015296</td>\n",
+       "      <td>0.027199</td>\n",
+       "      <td>0.572340</td>\n",
+       "      <td>0.951552</td>\n",
+       "      <td>0.154688</td>\n",
+       "      <td>0.001529</td>\n",
+       "      <td>0.219529</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Apr.</th>\n",
        "      <td>0.011561</td>\n",
-       "      <td>0.020201</td>\n",
-       "      <td>0.395653</td>\n",
-       "      <td>0.691439</td>\n",
-       "      <td>0.118162</td>\n",
-       "      <td>0.999090</td>\n",
-       "      <td>0.316850</td>\n",
+       "      <td>0.020202</td>\n",
+       "      <td>0.395660</td>\n",
+       "      <td>0.691446</td>\n",
+       "      <td>0.118166</td>\n",
+       "      <td>13.473519</td>\n",
+       "      <td>0.316854</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>May</th>\n",
        "      <td>0.014674</td>\n",
-       "      <td>0.036972</td>\n",
-       "      <td>0.350534</td>\n",
-       "      <td>0.634806</td>\n",
-       "      <td>0.092831</td>\n",
-       "      <td>0.999000</td>\n",
-       "      <td>0.542195</td>\n",
+       "      <td>0.036979</td>\n",
+       "      <td>0.350569</td>\n",
+       "      <td>0.634863</td>\n",
+       "      <td>0.092844</td>\n",
+       "      <td>0.000104</td>\n",
+       "      <td>0.542205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>June</th>\n",
@@ -651,68 +652,68 @@
        "      <td>0.194127</td>\n",
        "      <td>0.444547</td>\n",
        "      <td>0.054380</td>\n",
-       "      <td>0.999082</td>\n",
-       "      <td>1.095893</td>\n",
+       "      <td>19.675369</td>\n",
+       "      <td>1.095892</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>July</th>\n",
-       "      <td>0.016705</td>\n",
-       "      <td>0.029560</td>\n",
-       "      <td>0.117107</td>\n",
-       "      <td>0.655403</td>\n",
-       "      <td>0.089659</td>\n",
-       "      <td>0.999918</td>\n",
-       "      <td>1.297929</td>\n",
+       "      <td>0.017366</td>\n",
+       "      <td>0.029250</td>\n",
+       "      <td>0.092736</td>\n",
+       "      <td>0.685429</td>\n",
+       "      <td>0.106273</td>\n",
+       "      <td>0.568828</td>\n",
+       "      <td>1.559148</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Aug.</th>\n",
-       "      <td>0.011813</td>\n",
-       "      <td>0.024258</td>\n",
-       "      <td>0.092325</td>\n",
-       "      <td>0.430576</td>\n",
-       "      <td>0.089087</td>\n",
-       "      <td>0.999000</td>\n",
-       "      <td>1.771041</td>\n",
+       "      <td>0.012890</td>\n",
+       "      <td>0.047545</td>\n",
+       "      <td>0.196139</td>\n",
+       "      <td>0.394176</td>\n",
+       "      <td>0.074678</td>\n",
+       "      <td>0.000100</td>\n",
+       "      <td>1.508108</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Sep.</th>\n",
-       "      <td>0.013263</td>\n",
-       "      <td>0.028330</td>\n",
-       "      <td>0.153094</td>\n",
-       "      <td>0.515577</td>\n",
-       "      <td>0.098311</td>\n",
-       "      <td>0.999688</td>\n",
-       "      <td>1.134882</td>\n",
+       "      <td>0.012632</td>\n",
+       "      <td>0.019867</td>\n",
+       "      <td>0.102405</td>\n",
+       "      <td>0.537093</td>\n",
+       "      <td>0.107315</td>\n",
+       "      <td>0.551649</td>\n",
+       "      <td>1.239538</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Oct.</th>\n",
        "      <td>0.011180</td>\n",
        "      <td>0.022361</td>\n",
-       "      <td>0.504114</td>\n",
-       "      <td>1.068053</td>\n",
-       "      <td>0.182091</td>\n",
-       "      <td>0.999168</td>\n",
-       "      <td>0.307444</td>\n",
+       "      <td>0.504107</td>\n",
+       "      <td>1.068055</td>\n",
+       "      <td>0.182075</td>\n",
+       "      <td>0.000100</td>\n",
+       "      <td>0.307439</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Nov.</th>\n",
        "      <td>0.008956</td>\n",
        "      <td>0.024885</td>\n",
-       "      <td>1.048077</td>\n",
-       "      <td>0.832441</td>\n",
-       "      <td>0.201981</td>\n",
-       "      <td>0.999000</td>\n",
-       "      <td>0.238859</td>\n",
+       "      <td>1.048099</td>\n",
+       "      <td>0.832411</td>\n",
+       "      <td>0.201979</td>\n",
+       "      <td>3.761680</td>\n",
+       "      <td>0.238857</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Dec.</th>\n",
        "      <td>0.011656</td>\n",
-       "      <td>0.023142</td>\n",
-       "      <td>0.635806</td>\n",
-       "      <td>0.647140</td>\n",
-       "      <td>0.151236</td>\n",
-       "      <td>0.999023</td>\n",
-       "      <td>0.272883</td>\n",
+       "      <td>0.023141</td>\n",
+       "      <td>0.635773</td>\n",
+       "      <td>0.647146</td>\n",
+       "      <td>0.151242</td>\n",
+       "      <td>2.050925</td>\n",
+       "      <td>0.272889</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -721,18 +722,18 @@
       "text/plain": [
        "         lambda       phi     kappa     alpha        nu  sigmax_mux      iota\n",
        "Month                                                                        \n",
-       "Jan.   0.012927  0.026185  0.792360  0.794979  0.182908    0.999193  0.220716\n",
-       "Feb.   0.012272  0.033338  1.007502  0.982218  0.236826    0.999000  0.203081\n",
-       "Mar.   0.015295  0.027197  0.572306  0.951545  0.154677    0.999000  0.219535\n",
-       "Apr.   0.011561  0.020201  0.395653  0.691439  0.118162    0.999090  0.316850\n",
-       "May    0.014674  0.036972  0.350534  0.634806  0.092831    0.999000  0.542195\n",
-       "June   0.018159  0.042274  0.194127  0.444547  0.054380    0.999082  1.095893\n",
-       "July   0.016705  0.029560  0.117107  0.655403  0.089659    0.999918  1.297929\n",
-       "Aug.   0.011813  0.024258  0.092325  0.430576  0.089087    0.999000  1.771041\n",
-       "Sep.   0.013263  0.028330  0.153094  0.515577  0.098311    0.999688  1.134882\n",
-       "Oct.   0.011180  0.022361  0.504114  1.068053  0.182091    0.999168  0.307444\n",
-       "Nov.   0.008956  0.024885  1.048077  0.832441  0.201981    0.999000  0.238859\n",
-       "Dec.   0.011656  0.023142  0.635806  0.647140  0.151236    0.999023  0.272883"
+       "Jan.   0.012927  0.026185  0.792368  0.794990  0.182909    3.104458  0.220714\n",
+       "Feb.   0.012355  0.033729  1.052670  0.964153  0.229199    5.444216  0.195587\n",
+       "Mar.   0.015296  0.027199  0.572340  0.951552  0.154688    0.001529  0.219529\n",
+       "Apr.   0.011561  0.020202  0.395660  0.691446  0.118166   13.473519  0.316854\n",
+       "May    0.014674  0.036979  0.350569  0.634863  0.092844    0.000104  0.542205\n",
+       "June   0.018159  0.042274  0.194127  0.444547  0.054380   19.675369  1.095892\n",
+       "July   0.017366  0.029250  0.092736  0.685429  0.106273    0.568828  1.559148\n",
+       "Aug.   0.012890  0.047545  0.196139  0.394176  0.074678    0.000100  1.508108\n",
+       "Sep.   0.012632  0.019867  0.102405  0.537093  0.107315    0.551649  1.239538\n",
+       "Oct.   0.011180  0.022361  0.504107  1.068055  0.182075    0.000100  0.307439\n",
+       "Nov.   0.008956  0.024885  1.048099  0.832411  0.201979    3.761680  0.238857\n",
+       "Dec.   0.011656  0.023141  0.635773  0.647146  0.151242    2.050925  0.272889"
       ]
      },
      "execution_count": 7,
@@ -893,7 +894,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Best fitted model: July, Error: 0.10069\n",
+      "Best fitted model: Sep., Error: 0.18395\n",
       "Worst fitted model: Dec., Error: 2.83350\n"
      ]
     }
@@ -907,10 +908,7 @@
     "worst_month_idx = np.argmax(error)\n",
     "\n",
     "print(f\"Best fitted model: {month_abbr[best_month_idx]}, Error: {error[best_month_idx]:2.5f}\")\n",
-    "print(f\"Worst fitted model: {month_abbr[worst_month_idx]}, Error: {error[worst_month_idx]:2.5f}\")\n",
-    "\n",
-    "best_month_stats = results[best_month_idx]['theo_stats']\n",
-    "worst_month_stats = results[worst_month_idx]['theo_stats']"
+    "print(f\"Worst fitted model: {month_abbr[worst_month_idx]}, Error: {error[worst_month_idx]:2.5f}\")"
    ]
   },
   {
@@ -1063,31 +1061,31 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0.083333</th>\n",
-       "      <td>0.008965</td>\n",
-       "      <td>11.379874</td>\n",
-       "      <td>0.579428</td>\n",
-       "      <td>37.326717</td>\n",
+       "      <td>0.008030</td>\n",
+       "      <td>10.020834</td>\n",
+       "      <td>0.630432</td>\n",
+       "      <td>37.517408</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1.000000</th>\n",
-       "      <td>0.107581</td>\n",
-       "      <td>6.313281</td>\n",
-       "      <td>0.286653</td>\n",
-       "      <td>15.252169</td>\n",
+       "      <td>0.096362</td>\n",
+       "      <td>5.852267</td>\n",
+       "      <td>0.310199</td>\n",
+       "      <td>15.832104</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6.000000</th>\n",
-       "      <td>0.645488</td>\n",
-       "      <td>3.486269</td>\n",
-       "      <td>0.201028</td>\n",
-       "      <td>6.927106</td>\n",
+       "      <td>0.578170</td>\n",
+       "      <td>3.330652</td>\n",
+       "      <td>0.254475</td>\n",
+       "      <td>7.240695</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24.000000</th>\n",
-       "      <td>2.581953</td>\n",
-       "      <td>2.054543</td>\n",
-       "      <td>0.115126</td>\n",
-       "      <td>3.685982</td>\n",
+       "      <td>2.312680</td>\n",
+       "      <td>2.058065</td>\n",
+       "      <td>0.172872</td>\n",
+       "      <td>3.970615</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1096,17 +1094,17 @@
       "text/plain": [
        "              StatMetrics.MEAN  StatMetrics.CVAR  StatMetrics.AR1  \\\n",
        "timescale_hr                                                        \n",
-       "0.083333              0.008965         11.379874         0.579428   \n",
-       "1.000000              0.107581          6.313281         0.286653   \n",
-       "6.000000              0.645488          3.486269         0.201028   \n",
-       "24.000000             2.581953          2.054543         0.115126   \n",
+       "0.083333              0.008030         10.020834         0.630432   \n",
+       "1.000000              0.096362          5.852267         0.310199   \n",
+       "6.000000              0.578170          3.330652         0.254475   \n",
+       "24.000000             2.312680          2.058065         0.172872   \n",
        "\n",
        "              StatMetrics.SKEWNESS  \n",
        "timescale_hr                        \n",
-       "0.083333                 37.326717  \n",
-       "1.000000                 15.252169  \n",
-       "6.000000                  6.927106  \n",
-       "24.000000                 3.685982  "
+       "0.083333                 37.517408  \n",
+       "1.000000                 15.832104  \n",
+       "6.000000                  7.240695  \n",
+       "24.000000                 3.970615  "
       ]
      },
      "metadata": {},
@@ -1156,31 +1154,31 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0.083333</th>\n",
-       "      <td>0.008922</td>\n",
-       "      <td>11.180480</td>\n",
-       "      <td>0.592266</td>\n",
-       "      <td>33.816884</td>\n",
+       "      <td>0.008105</td>\n",
+       "      <td>8.094277</td>\n",
+       "      <td>0.656134</td>\n",
+       "      <td>25.625165</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1.000000</th>\n",
-       "      <td>0.107065</td>\n",
-       "      <td>6.273239</td>\n",
-       "      <td>0.284599</td>\n",
-       "      <td>14.514512</td>\n",
+       "      <td>0.097256</td>\n",
+       "      <td>4.946199</td>\n",
+       "      <td>0.360873</td>\n",
+       "      <td>12.371813</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6.000000</th>\n",
-       "      <td>0.642383</td>\n",
-       "      <td>3.470400</td>\n",
-       "      <td>0.208534</td>\n",
-       "      <td>6.676110</td>\n",
+       "      <td>0.583535</td>\n",
+       "      <td>2.959160</td>\n",
+       "      <td>0.299261</td>\n",
+       "      <td>6.058172</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24.000000</th>\n",
-       "      <td>2.569486</td>\n",
-       "      <td>2.059352</td>\n",
-       "      <td>0.122148</td>\n",
-       "      <td>3.535409</td>\n",
+       "      <td>2.334125</td>\n",
+       "      <td>1.887514</td>\n",
+       "      <td>0.198371</td>\n",
+       "      <td>3.523645</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1189,17 +1187,17 @@
       "text/plain": [
        "              StatMetrics.MEAN  StatMetrics.CVAR  StatMetrics.AR1  \\\n",
        "timescale_hr                                                        \n",
-       "0.083333              0.008922         11.180480         0.592266   \n",
-       "1.000000              0.107065          6.273239         0.284599   \n",
-       "6.000000              0.642383          3.470400         0.208534   \n",
-       "24.000000             2.569486          2.059352         0.122148   \n",
+       "0.083333              0.008105          8.094277         0.656134   \n",
+       "1.000000              0.097256          4.946199         0.360873   \n",
+       "6.000000              0.583535          2.959160         0.299261   \n",
+       "24.000000             2.334125          1.887514         0.198371   \n",
        "\n",
        "              StatMetrics.SKEWNESS  \n",
        "timescale_hr                        \n",
-       "0.083333                 33.816884  \n",
-       "1.000000                 14.514512  \n",
-       "6.000000                  6.676110  \n",
-       "24.000000                 3.535409  "
+       "0.083333                 25.625165  \n",
+       "1.000000                 12.371813  \n",
+       "6.000000                  6.058172  \n",
+       "24.000000                 3.523645  "
       ]
      },
      "metadata": {},
@@ -1303,7 +1301,7 @@
     "print(\"Input Time Series Statistics\")\n",
     "display(stats[best_month_idx])\n",
     "print(\"Theoretical Time Series Statistics\")\n",
-    "display(best_month_stats)\n",
+    "display(results[best_month_idx]['theo_stats'])\n",
     "print(\"Sampled Time Series Statistics\")\n",
     "display(sampled_stats[best_month_idx])\n",
     "print(\"weights\")\n",
@@ -1464,30 +1462,30 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0.083333</th>\n",
-       "      <td>0.007548</td>\n",
-       "      <td>5.293510</td>\n",
-       "      <td>0.751871</td>\n",
-       "      <td>17.680768</td>\n",
+       "      <td>0.007547</td>\n",
+       "      <td>5.293496</td>\n",
+       "      <td>0.751872</td>\n",
+       "      <td>17.680733</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1.000000</th>\n",
-       "      <td>0.090571</td>\n",
-       "      <td>3.764516</td>\n",
-       "      <td>0.558657</td>\n",
-       "      <td>9.119594</td>\n",
+       "      <td>0.090569</td>\n",
+       "      <td>3.764498</td>\n",
+       "      <td>0.558651</td>\n",
+       "      <td>9.119569</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6.000000</th>\n",
-       "      <td>0.543424</td>\n",
-       "      <td>2.682901</td>\n",
-       "      <td>0.443893</td>\n",
-       "      <td>5.597094</td>\n",
+       "      <td>0.543415</td>\n",
+       "      <td>2.682883</td>\n",
+       "      <td>0.443899</td>\n",
+       "      <td>5.597051</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24.000000</th>\n",
-       "      <td>2.173695</td>\n",
-       "      <td>1.872379</td>\n",
-       "      <td>0.256153</td>\n",
+       "      <td>2.173661</td>\n",
+       "      <td>1.872376</td>\n",
+       "      <td>0.256160</td>\n",
        "      <td>3.514807</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1497,16 +1495,16 @@
       "text/plain": [
        "              StatMetrics.MEAN  StatMetrics.CVAR  StatMetrics.AR1  \\\n",
        "timescale_hr                                                        \n",
-       "0.083333              0.007548          5.293510         0.751871   \n",
-       "1.000000              0.090571          3.764516         0.558657   \n",
-       "6.000000              0.543424          2.682901         0.443893   \n",
-       "24.000000             2.173695          1.872379         0.256153   \n",
+       "0.083333              0.007547          5.293496         0.751872   \n",
+       "1.000000              0.090569          3.764498         0.558651   \n",
+       "6.000000              0.543415          2.682883         0.443899   \n",
+       "24.000000             2.173661          1.872376         0.256160   \n",
        "\n",
        "              StatMetrics.SKEWNESS  \n",
        "timescale_hr                        \n",
-       "0.083333                 17.680768  \n",
-       "1.000000                  9.119594  \n",
-       "6.000000                  5.597094  \n",
+       "0.083333                 17.680733  \n",
+       "1.000000                  9.119569  \n",
+       "6.000000                  5.597051  \n",
        "24.000000                 3.514807  "
       ]
      },
@@ -1557,31 +1555,31 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0.083333</th>\n",
-       "      <td>0.007408</td>\n",
-       "      <td>5.428896</td>\n",
-       "      <td>0.745989</td>\n",
-       "      <td>18.278024</td>\n",
+       "      <td>0.007621</td>\n",
+       "      <td>7.581642</td>\n",
+       "      <td>0.698570</td>\n",
+       "      <td>28.780840</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1.000000</th>\n",
-       "      <td>0.088898</td>\n",
-       "      <td>3.844772</td>\n",
-       "      <td>0.552141</td>\n",
-       "      <td>9.335921</td>\n",
+       "      <td>0.091458</td>\n",
+       "      <td>4.889165</td>\n",
+       "      <td>0.415629</td>\n",
+       "      <td>13.030705</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6.000000</th>\n",
-       "      <td>0.533386</td>\n",
-       "      <td>2.724376</td>\n",
-       "      <td>0.443659</td>\n",
-       "      <td>5.650940</td>\n",
+       "      <td>0.548744</td>\n",
+       "      <td>3.088918</td>\n",
+       "      <td>0.350101</td>\n",
+       "      <td>6.575003</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24.000000</th>\n",
-       "      <td>2.133507</td>\n",
-       "      <td>1.891517</td>\n",
-       "      <td>0.250076</td>\n",
-       "      <td>3.587621</td>\n",
+       "      <td>2.194963</td>\n",
+       "      <td>2.036548</td>\n",
+       "      <td>0.218213</td>\n",
+       "      <td>3.764381</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1590,17 +1588,17 @@
       "text/plain": [
        "              StatMetrics.MEAN  StatMetrics.CVAR  StatMetrics.AR1  \\\n",
        "timescale_hr                                                        \n",
-       "0.083333              0.007408          5.428896         0.745989   \n",
-       "1.000000              0.088898          3.844772         0.552141   \n",
-       "6.000000              0.533386          2.724376         0.443659   \n",
-       "24.000000             2.133507          1.891517         0.250076   \n",
+       "0.083333              0.007621          7.581642         0.698570   \n",
+       "1.000000              0.091458          4.889165         0.415629   \n",
+       "6.000000              0.548744          3.088918         0.350101   \n",
+       "24.000000             2.194963          2.036548         0.218213   \n",
        "\n",
        "              StatMetrics.SKEWNESS  \n",
        "timescale_hr                        \n",
-       "0.083333                 18.278024  \n",
-       "1.000000                  9.335921  \n",
-       "6.000000                  5.650940  \n",
-       "24.000000                 3.587621  "
+       "0.083333                 28.780840  \n",
+       "1.000000                 13.030705  \n",
+       "6.000000                  6.575003  \n",
+       "24.000000                 3.764381  "
       ]
      },
      "metadata": {},
@@ -1704,7 +1702,7 @@
     "print(\"Input Time Series Statistics\")\n",
     "display(stats[11])\n",
     "print(\"Theoretical Time Series Statistics\")\n",
-    "display(worst_month_stats)\n",
+    "display(results[worst_month_idx]['theo_stats'])\n",
     "print(\"Sampled Time Series Statistics\")\n",
     "display(sampled_stats[11])\n",
     "print(\"weights\")\n",