ARGATROBAN DATA -- GTS ALGORITHM INITIAL OLS ESTIMATION OLS estimates uindiv 1.000000 -5.087406 -1.523460 2.000000 -5.316748 -1.997347 3.000000 -5.054528 -2.319867 4.000000 -5.109984 -1.446642 5.000000 -5.101036 -1.681794 6.000000 -4.739764 -1.633269 7.000000 -5.839164 -2.094743 8.000000 -4.761362 -1.646096 9.000000 -5.406048 -1.416930 10.000000 -5.391064 -1.849500 11.000000 -5.849950 -1.801984 12.000000 -5.451012 -2.237110 13.000000 -5.981702 -2.001328 14.000000 -5.368875 -1.966769 15.000000 -6.199401 -2.095431 16.000000 -5.492127 -2.083073 17.000000 -6.122933 -1.927109 18.000000 -5.304374 -1.974915 19.000000 -5.205559 -1.881280 20.000000 -5.524927 -2.398156 21.000000 -5.369534 -2.235292 22.000000 -5.445647 -2.445654 23.000000 -5.519526 -2.113683 24.000000 -5.512732 -1.944723 25.000000 -5.749813 -2.190686 26.000000 -5.110668 -2.198795 27.000000 -5.993081 -1.978620 28.000000 -5.886762 -1.846389 29.000000 -5.240321 -1.894611 30.000000 -5.159957 -1.918164 31.000000 -4.952333 -1.918614 32.000000 -5.463692 -1.861603 33.000000 -6.165047 -1.904327 34.000000 -5.366761 -2.012673 35.000000 -5.457878 -1.788923 36.000000 -4.882799 -1.614647 37.000000 -4.957513 -2.318169 OLS pooled estimate of sigma 88.01405 GLS-PL POOLED ESTIMATION Iteration 1 Estimate of theta 0.1519031 Iteration 2 Estimate of theta 0.1986853 Iteration 3 Estimate of theta 0.2122114 Iteration 4 Estimate of theta 0.2161920 Iteration 5 Estimate of theta 0.2173757 Iteration 6 Estimate of theta 0.2177274 Iteration 7 Estimate of theta 0.2178323 Iteration 8 Estimate of theta 0.2178634 Iteration 9 Estimate of theta 0.2178727 Iteration 10 Estimate of theta 0.2178755 Iteration 11 Estimate of theta 0.2178763 Iteration 12 Estimate of theta 0.2178766 Iteration 13 Estimate of theta 0.2178766 Iteration 14 Estimate of theta 0.2178767 Iteration 15 Estimate of theta 0.2178767 Iteration 16 Estimate of theta 0.2178767 Iteration 17 Estimate of theta 0.2178767 Iteration 18 Estimate of theta 0.2178767 Iteration 19 Estimate of theta 0.2178767 Iteration 20 Estimate of theta 0.2178767 Final GLS estimates after 20 iterations uindiv 1.000000 -5.085338 -1.497000 2.000000 -5.318621 -1.960873 3.000000 -5.049090 -2.217027 4.000000 -5.107047 -1.422689 5.000000 -5.101614 -1.659134 6.000000 -4.736034 -1.616538 7.000000 -5.838439 -2.071844 8.000000 -4.773301 -1.544251 9.000000 -5.435306 -1.409299 10.000000 -5.391729 -1.844980 11.000000 -5.864432 -1.779267 12.000000 -5.452431 -2.130798 13.000000 -5.990442 -1.964721 14.000000 -5.367324 -1.915666 15.000000 -6.211647 -2.037833 16.000000 -5.495639 -2.018732 17.000000 -6.130959 -1.907020 18.000000 -5.304722 -1.945485 19.000000 -5.200409 -1.885740 20.000000 -5.526983 -2.317226 21.000000 -5.372683 -2.138894 22.000000 -5.444101 -2.307702 23.000000 -5.525140 -2.040709 24.000000 -5.516302 -1.927503 25.000000 -5.755760 -2.111863 26.000000 -5.100674 -2.161463 27.000000 -5.999323 -1.952249 28.000000 -5.882172 -1.870262 29.000000 -5.243319 -1.812966 30.000000 -5.157970 -1.865957 31.000000 -4.956366 -1.779829 32.000000 -5.466538 -1.826363 33.000000 -6.172127 -1.889859 34.000000 -5.367375 -1.920727 35.000000 -5.465407 -1.737488 36.000000 -4.881074 -1.566532 37.000000 -4.951249 -2.160116 Final pooled estimate of sigma 23.46912 RESULTS OF GTS ALGORITHM Number of iterations required 67 Estimate of population beta and SEs -5.433146 0.062089 -1.927125 0.026328 Estimate of population D b1 b2 0.137447600 0.006104642 0.006104642 0.006277064 Individual empirical Bayes estimates b1 b2 -5.176228 -1.906658 -5.327559 -1.923933 -5.076421 -1.918133 -5.185850 -1.903502 -5.151886 -1.902651 -4.846297 -1.897404 -5.816480 -1.964530 -4.883877 -1.895628 -5.447535 -1.863760 -5.400784 -1.915771 -5.865828 -1.900514 -5.431272 -1.952739 -5.984203 -1.955216 -5.369698 -1.923202 -6.202204 -1.992428 -5.484891 -1.945576 -6.127734 -1.931066 -5.304948 -1.926264 -5.208533 -1.913603 -5.492801 -2.010983 -5.354248 -1.971898 -5.411547 -2.012198 -5.514985 -1.963209 -5.515632 -1.929473 -5.742621 -2.016464 -5.082893 -1.953662 -5.996609 -1.951214 -5.877066 -1.912547 -5.254534 -1.889911 -5.165907 -1.904580 -4.976786 -1.886407 -5.473666 -1.889602 -6.170808 -1.909681 -5.368179 -1.923193 -5.477658 -1.846582 -4.924812 -1.851196 -4.933436 -1.948251