Saran SIMPULAN DAN SARAN 8.1. Simpulan

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Hasil Analisis Pendugaan Fungsi Produksi Metode OLS pada Petambak Sewa Regression Analysis: C1 versus C2, C3, C4, C5 The regression equation is C1 = 3.46 + 0.547 C2 + 1.54 C3 + 0.578 C4 + 0.0085 C5 Predictor Coef SE Coef T P VIF Constant 3.461 2.442 1.42 0.167 C2 0.5467 0.1120 4.88 0.000 9.461 C3 1.5375 0.5362 2.87 0.008 1.106 C4 0.5778 0.1117 5.17 0.000 9.644 C5 0.00846 0.02731 0.31 0.759 1.046 S = 0.0836788 R-Sq = 97.0 R-Sqadj = 96.6 Analysis of Variance Source DF SS MS F P Regression 4 6.8677 1.7169 245.20 0.000 Residual Error 30 0.2101 0.0070 Total 34 7.0777 Durbin-Watson statistic = 1.47296

1.2. Hasil Analisis Pendugaan Fungsi Produksi Metode OLS pada

Petambak Bagi-hasil Regression Analysis: C1 versus C2, C3, C4, C5 The regression equation is C1 = 10.4 + 1.16 C2 + 0.116 C3 + 0.0359 C4 + 0.0393 C5 Predictor Coef SE Coef T P VIF Constant 10.433 1.688 6.18 0.000 C2 1.15876 0.06873 16.86 0.000 4.306 C3 0.1159 0.3886 0.30 0.768 1.072 C4 0.03593 0.06606 0.54 0.590 4.248 C5 0.03930 0.03509 1.12 0.272 1.157 S = 0.122787 R-Sq = 97.8 R-Sqadj = 97.5 Analysis of Variance Source DF SS MS F P Regression 4 19.6776 4.9194 326.29 0.000 Residual Error 30 0.4523 0.0151 Total 34 20.1299 Durbin-Watson statistic = 1.60015

1.3. Hasil Analisis Pendugaan Fungsi Produksi Metode OLS pada

Petambak Pemilik-garap Regression Analysis: C1 versus C2, C3, C4, C5 The regression equation is C1 = 11.4 + 0.699 C2 + 0.179 C3 + 0.113 C4 + 0.161 C5 Predictor Coef SE Coef T P VIF Constant 11.384 3.574 3.19 0.004 C2 0.6995 0.1165 6.00 0.000 1.064 C3 0.1793 0.8694 0.21 0.838 1.450 C4 0.1133 0.1038 1.09 0.286 1.194 C5 0.1611 0.1479 1.09 0.286 1.371 S = 0.135265 R-Sq = 99.5 R-Sqadj = 93.0 Analysis of Variance Source DF SS MS F P Regression 4 0.67101 0.16775 9.17 0.000 Residual Error 25 0.45741 0.01830 Total 29 1.12842 Durbin-Watson statistic = 1.27874

1.4. Hasil Analisis Pendugaan Fungsi Produksi Stochastic Frontier

dengan MLE Petambak Sewa Output from the program FRONTIER Version 4.1c instruction file = terminal data file = dta.txt Tech. Eff. Effects Frontier see BC 1993 The model is a production function The dependent variable is logged the ols estimates are : coefficient standard-error t-ratio beta 0 0.34606360E+01 0.24423058E+01 0.14169544E+01 beta 1 0.54666268E+00 0.11202814E+00 0.48796909E+01 beta 2 0.15375312E+01 0.53622628E+00 0.28673178E+01 beta 3 0.57780356E+00 0.11167872E+00 0.51738018E+01 beta 4 0.84642591E-02 0.27314851E-01 0.30987755E+00 sigma-squared 0.70021335E-02 log likelihood function = 0.39861746E+02 the estimates after the grid search were : beta 0 0.35447649E+01 beta 1 0.54666268E+00 beta 2 0.15375312E+01 beta 3 0.57780356E+00 beta 4 0.84642591E-02 delta 0 0.00000000E+00 delta 1 0.00000000E+00 delta 2 0.00000000E+00 delta 3 0.00000000E+00 delta 4 0.00000000E+00 delta 5 0.00000000E+00 delta 6 0.00000000E+00 delta 7 0.00000000E+00 delta 8 0.00000000E+00 delta 9 0.00000000E+00 delta10 0.00000000E+00 sigma-squared 0.13079494E-01 gamma 0.85000000E+00 iteration = 0 func evals = 20 llf = 0.40490531E+02 0.35447649E+01 0.54666268E+00 0.15375312E+01 0.57780356E+00 0.84642591E-02 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.13079494E-01 0.85000000E+00 gradient step iteration = 5 func evals = 43 llf = 0.41090760E+02 0.35448470E+01 0.54667141E+00 0.15379668E+01 0.57762046E+00 0.88517178E-02 0.31745938E-04 0.24308640E-02-0.20600856E-03-0.85889365E-03 0.41365098E-03 0.10365967E-02 0.61567344E-03-0.24837372E-03-0.95185940E-04 0.00000000E+00 -0.12053630E-02 0.11622679E-01 0.84999013E+00 iteration = 10 func evals = 61 llf = 0.42536409E+02 0.35463567E+01 0.53879031E+00 0.15487141E+01 0.54965050E+00 0.85257455E-02 0.78048892E-03 0.46552752E-02-0.52202136E-02-0.49454235E-02 0.21754813E-02 0.49557211E-01 0.10934145E-01-0.17103707E-02-0.76178510E-04 0.00000000E+00 -0.55672570E-01 0.10023760E-01 0.84539894E+00 iteration = 15 func evals = 82 llf = 0.43675907E+02 0.35355804E+01 0.70505201E+00 0.15954254E+01 0.37709932E+00 0.13648614E-01 0.74315497E-01 0.44022085E-02-0.11389305E-01-0.21924739E-02-0.29623333E-02 0.73474981E-01 0.12779138E-01-0.23344431E-02-0.88479787E-04 0.00000000E+00 -0.75444929E-01 0.83395253E-02 0.84684399E+00 iteration = 20 func evals = 103 llf = 0.48650218E+02 0.28835867E+01 0.86672884E+00 0.17711966E+01 0.24137969E+00 0.19581428E-01 0.19424601E+00 0.28755601E-02-0.11270240E-01-0.25217403E-02-0.21634949E-01 0.25400442E+00 0.10989263E-01-0.60025746E-02-0.13752783E-03 0.00000000E+00 -0.69150900E-01 0.45689700E-02 0.80138097E+00 pt better than entering pt cannot be found iteration = 21 func evals = 111 llf = 0.48650218E+02 0.28835867E+01 0.86672884E+00 0.17711966E+01 0.24137969E+00 0.19581428E-01 0.19424601E+00 0.28755601E-02-0.11270240E-01-0.25217403E-02-0.21634949E-01 0.25400442E+00 0.10989263E-01-0.60025746E-02-0.13752783E-03 0.00000000E+00 -0.69150900E-01 0.45689700E-02 0.80138097E+00 the final mle estimates are : coefficient standard-error t-ratio beta 0 0.28835867E+01 0.96455138E+00 0.29895625E+01 beta 1 0.86672884E+00 0.18766223E+00 0.46185576E+01 beta 2 0.17711966E+01 0.22149590E+00 0.79965212E+01 beta 3 0.24137969E+00 0.17527198E+00 0.13771721E+01 beta 4 0.19581428E-01 0.28454849E-01 0.68815788E+00 delta 0 0.19424601E+00 0.20291300E+00 0.95728715E+00 delta 1 0.28755601E-02 0.29480917E-02 0.97539708E+00 delta 2 -0.11270240E-01 0.16396393E-01 -0.68736093E+00 delta 3 -0.25217403E-02 0.56490976E-02 -0.44639702E+00 delta 4 -0.21634949E-01 0.25056669E-01 -0.86344075E+00 delta 5 0.25400442E+00 0.12650043E+00 0.20079333E+01 delta 6 0.10989263E-01 0.24556091E-01 0.44751681E+00 delta 7 -0.60025746E-02 0.29539302E-02 -0.20320638E+01 delta 8 -0.13752783E-03 0.10387383E-03 -0.13239893E+01 delta 9 0.00000000E+00 0.10000000E+01 0.00000000E+00 delta10 -0.69150900E-01 0.59681015E-01 -0.11586750E+01 sigma-squared 0.45689700E-02 0.28523533E-02 0.16018247E+01 gamma 0.80138097E+00 0.14387985E+00 0.55697930E+01 log likelihood function = 0.48650218E+02 LR test of the one-sided error = 0.17576944E+02 with number of restrictions = [note that this statistic has a mixed chi-square distribution] number of iterations = 21 maximum number of iterations set at : 100 number of cross-sections = 35 number of time periods = 1 total number of observations = 35 thus there are: 0 obsns not in the panel covariance matrix : 0.93035936E+00 -0.33388962E-01 -0.20551770E+00 0.39393278E-01 -0.80635782E-02 -0.31281251E-01 0.15702111E-03 0.21573751E-02 -0.44912206E-03 0.33141554E-02 -0.24196758E-01 0.15775957E-02 0.61069963E-03 -0.14333274E-04 0.00000000E+00 0.36791017E-02 -0.95602235E-04 -0.21466354E-01 -0.33388962E-01 0.35217114E-01 0.13580171E-01 -0.31870653E-01 0.20876589E-02 0.11269791E-01 -0.90910719E-04 -0.10442834E-02 0.16388605E-03 -0.15379072E-02 0.13783103E-01 -0.10262408E-02 -0.25043015E-03 0.14776911E-05 0.00000000E+00 0.24961322E-02 0.11241728E-03 0.70317525E-02 -0.20551770E+00 0.13580171E-01 0.49060432E-01 -0.15344323E-01 0.90273144E-03 0.89941004E-02 -0.30206992E-04 -0.77280737E-03 0.55839546E-04 -0.85292157E-03 0.75257651E-02 -0.34064660E-03 -0.19003885E-03 0.42712884E-05 0.00000000E+00 -0.32488786E-03 0.41540522E-04 0.85254324E-02 0.39393278E-01 -0.31870653E-01 -0.15344323E-01 0.30720267E-01 -0.17125201E-02 -0.11573414E-01 0.57401368E-04 0.97134046E-03 -0.10535476E-03 0.14928626E-02 -0.12674931E-01 0.72569401E-03 0.26268595E-03 -0.88757994E-06 0.00000000E+00 -0.18597326E-02 -0.78883343E-04 -0.68045698E-02 -0.80635782E-02 0.20876589E-02 0.90273144E-03 -0.17125201E-02 0.80967841E-03 0.10488502E-02 -0.12933371E-04 -0.53960309E-05 0.40994887E-04 -0.20421463E-03 0.97158437E-03 -0.13078427E-03 -0.14991577E-04 -0.41149474E-06 0.00000000E+00 0.77317621E-04 0.52916434E-05 -0.62582188E-03 -0.31281251E-01 0.11269791E-01 0.89941004E-02 -0.11573414E-01 0.10488502E-02 0.41173685E-01 -0.39836581E-03 -0.27653964E-02 -0.24551673E-03 -0.20229741E-02 0.74314591E-02 -0.13564427E-03 -0.95435399E-04 0.36506445E-05 0.00000000E+00 0.20335167E-02 0.19387047E-03 0.69280118E-02 0.15702111E-03 -0.90910719E-04 -0.30206992E-04 0.57401368E-04 -0.12933371E-04 -0.39836581E-03 0.86912450E-05 0.17077184E-04 -0.35150491E-05 -0.82982951E-05 -0.55638129E-04 0.16485249E-04 0.33923802E-06 -0.52927090E-07 0.00000000E+00 -0.55680970E-04 -0.28921677E-06 -0.64735546E-05 0.21573751E-02 -0.10442834E-02 -0.77280737E-03 0.97134046E-03 -0.53960309E-05 -0.27653964E-02 0.17077184E-04 0.26884170E-03 0.23782123E-04 0.19899629E-03 -0.51263697E-03 -0.72890012E-04 0.29079002E-05 -0.12335022E-06 0.00000000E+00 -0.94610683E-04 -0.19874643E-04 -0.63489173E-03 -0.44912206E-03 0.16388605E-03 0.55839546E-04 -0.10535476E-03 0.40994887E-04 -0.24551673E-03 -0.35150491E-05 0.23782123E-04 0.31912304E-04 0.25038643E-04 -0.10995667E-03 -0.39885272E-04 0.25131798E-05 -0.36659463E-07 0.00000000E+00 -0.30397742E-05 -0.37636070E-05 -0.42214258E-04 0.33141554E-02 -0.15379072E-02 -0.85292157E-03 0.14928626E-02 -0.20421463E-03 -0.20229741E-02 -0.82982951E-05 0.19899629E-03 0.25038643E-04 0.62783667E-03 -0.97010694E-03 -0.18621112E-03 0.99332165E-05 -0.14314347E-06 0.00000000E+00 -0.25541255E-03 -0.22956913E-04 -0.49874344E-03 -0.24196758E-01 0.13783103E-01 0.75257651E-02 -0.12674931E-01 0.97158437E-03 0.74314591E-02 -0.55638129E-04 -0.51263697E-03 -0.10995667E-03 -0.97010694E-03 0.16002358E-01 -0.62093671E-03 -0.34593028E-03 -0.76044108E-06 0.00000000E+00 0.22689373E-02 -0.71808586E-06 -0.22338565E-02 0.15775957E-02 -0.10262408E-02 -0.34064660E-03 0.72569401E-03 -0.13078427E-03 -0.13564427E-03 0.16485249E-04 -0.72890012E-04 -0.39885272E-04 -0.18621112E-03 -0.62093671E-03 0.60300160E-03 0.13824183E-04 -0.11746375E-05 0.00000000E+00 -0.49916054E-03 0.55639087E-05 0.82472638E-05 0.61069963E-03 -0.25043015E-03 -0.19003885E-03 0.26268595E-03 -0.14991577E-04 -0.95435399E-04 0.33923802E-06 0.29079002E-05 0.25131798E-05 0.99332165E-05 -0.34593028E-03 0.13824183E-04 0.87257037E-05 0.15932725E-07 0.00000000E+00 -0.30004851E-04 0.16750059E-05 0.91767765E-04 -0.14333274E-04 0.14776911E-05 0.42712884E-05 -0.88757994E-06 -0.41149474E-06 0.36506445E-05 -0.52927090E-07 -0.12335022E-06 -0.36659463E-07 -0.14314347E-06 -0.76044108E-06 -0.11746375E-05 0.15932725E-07 0.10789772E-07 0.00000000E+00 0.18153188E-05 0.17032136E-07 0.27385932E-05 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.10000000E+01 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.36791017E-02 0.24961322E-02 -0.32488786E-03 -0.18597326E-02 0.77317621E-04 0.20335167E-02 -0.55680970E-04 -0.94610683E-04 -0.30397742E-05 -0.25541255E-03 0.22689373E-02 -0.49916054E-03 -0.30004851E-04 0.18153188E-05 0.00000000E+00 0.35618236E-02 0.27479207E-04 0.13549187E-02 -0.95602235E-04 0.11241728E-03 0.41540522E-04 -0.78883343E-04 0.52916434E-05 0.19387047E-03 -0.28921677E-06 -0.19874643E-04 -0.37636070E-05 -0.22956913E-04 -0.71808586E-06 0.55639087E-05 0.16750059E-05 0.17032136E-07 0.00000000E+00 0.27479207E-04 0.81359192E-05 0.22369909E-03 -0.21466354E-01 0.70317525E-02 0.85254324E-02 -0.68045698E-02 -0.62582188E-03 0.69280118E-02 -0.64735546E-05 -0.63489173E-03 -0.42214258E-04 -0.49874344E-03 -0.22338565E-02 0.82472638E-05 0.91767765E-04 0.27385932E-05 0.00000000E+00 0.13549187E-02 0.22369909E-03 0.20701411E-01 technical efficiency estimates : firm year eff.-est. 1 1 0.98154514E+00 2 1 0.95936608E+00 3 1 0.90287712E+00 4 1 0.94147332E+00 5 1 0.96129062E+00 6 1 0.93695816E+00 7 1 0.94298199E+00 8 1 0.82700048E+00 9 1 0.97516624E+00 10 1 0.95491272E+00 11 1 0.96334349E+00 12 1 0.97275089E+00 13 1 0.97041252E+00 14 1 0.96452825E+00 15 1 0.95754611E+00 16 1 0.85644492E+00 17 1 0.89283224E+00 18 1 0.85306654E+00 19 1 0.87981944E+00 20 1 0.99373406E+00 21 1 0.75180354E+00 22 1 0.79735614E+00 23 1 0.71747519E+00 24 1 0.78970759E+00 25 1 0.86504839E+00 26 1 0.85912370E+00 27 1 0.93648356E+00 28 1 0.88916197E+00 29 1 0.92633993E+00 30 1 0.94702663E+00 31 1 0.97219901E+00 32 1 0.93184679E+00 33 1 0.94032014E+00 34 1 0.93308400E+00 35 1 0.95505393E+00 mean efficiency = 0.91143088E+00

1.5. Hasil Analisis Pendugaan Fungsi Produksi Rata-Rata OLS Dan

Fungsi Produksi Stochastic Frontier MLE Petambak Bagi-hasil Output from the program FRONTIER Version 4.1c instruction file = terminal data file = dta.txt Tech. Eff. Effects Frontier see BC 1993 The model is a production function The dependent variable is logged the ols estimates are : coefficient standard-error t-ratio beta 0 0.10432781E+02 0.16877538E+01 0.61814590E+01 beta 1 0.11587604E+01 0.68734265E-01 0.16858555E+02 beta 2 0.11591619E+00 0.38864039E+00 0.29826079E+00 beta 3 0.35934234E-01 0.66056601E-01 0.54399158E+00 beta 4 0.39300685E-01 0.35092292E-01 0.11199236E+01 sigma-squared 0.15076756E-01 log likelihood function = 0.26440307E+02 the estimates after the grid search were : beta 0 0.10453393E+02 beta 1 0.11587604E+01 beta 2 0.11591619E+00 beta 3 0.35934234E-01 beta 4 0.39300685E-01 delta 0 0.00000000E+00 delta 1 0.00000000E+00 delta 2 0.00000000E+00 delta 3 0.00000000E+00 delta 4 0.00000000E+00 delta 5 0.00000000E+00 delta 6 0.00000000E+00 delta 7 0.00000000E+00 delta 8 0.00000000E+00 delta 9 0.00000000E+00 delta10 0.00000000E+00 sigma-squared 0.13347808E-01 gamma 0.50000000E-01 iteration = 0 func evals = 20 llf = 0.26423506E+02 0.10453393E+02 0.11587604E+01 0.11591619E+00 0.35934234E-01 0.39300685E-01 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.13347808E-01 0.50000000E-01 gradient step iteration = 5 func evals = 44 llf = 0.27760714E+02 0.10453500E+02 0.11583852E+01 0.11641794E+00 0.35693244E-01 0.40190065E-01 0.34623921E-03-0.45153750E-03 0.43305351E-02-0.13877219E-02 0.33325926E-02 0.32682398E-02 0.20739949E-02-0.12159967E-03 0.83128768E-04-0.22152236E-03 0.47820865E-03 0.12261490E-01 0.50063324E-01 iteration = 10 func evals = 62 llf = 0.27978635E+02 0.10452956E+02 0.11667905E+01 0.11376649E+00 0.38769985E-01 0.39038308E-01 -0.58773347E-03-0.10960640E-02 0.34755965E-02-0.11830570E-02 0.56225109E-02 0.12178063E-01 0.32895188E-02-0.16440348E-03 0.83618013E-04-0.28238374E-03 0.17553614E-02 0.12183505E-01 0.53433774E-01 iteration = 15 func evals = 83 llf = 0.29454946E+02 0.10456074E+02 0.12103347E+01 0.12872260E+00-0.71710469E-02 0.51419496E-01 -0.84276600E-01 0.39447905E-02 0.47855889E-02-0.44225772E-02-0.54770793E-02 0.68466827E-01-0.11888533E-01-0.80872586E-03 0.14517821E-03-0.12056430E-02 -0.70325330E-02 0.99655174E-02 0.37259181E+00 iteration = 20 func evals = 154 llf = 0.40713228E+02 0.10131317E+02 0.11476087E+01 0.25174542E+00 0.30964450E-01 0.46578041E-01 0.38517875E+00-0.15789247E-02-0.73801626E-02-0.77041322E-02 0.13119177E-01 0.12301723E+00-0.62485512E-02-0.18962508E-02 0.40327457E-04-0.13481784E-02 0.47799216E-01 0.57514928E-02 0.95584816E+00 iteration = 25 func evals = 211 llf = 0.45801487E+02 0.10042887E+02 0.11161233E+01 0.26997601E+00 0.34845380E-01 0.50666782E-01 0.37199664E+00-0.12101966E-02-0.25260125E-02-0.58810575E-02 0.12434354E-01 0.12845752E+00-0.10064658E-01-0.20644881E-02 0.26983556E-04-0.16600424E-02 0.15418333E-01 0.57314002E-02 0.99999999E+00 pt better than entering pt cannot be found iteration = 26 func evals = 219 llf = 0.45801487E+02 0.10042887E+02 0.11161233E+01 0.26997601E+00 0.34845380E-01 0.50666782E-01 0.37199664E+00-0.12101966E-02-0.25260125E-02-0.58810575E-02 0.12434354E-01 0.12845752E+00-0.10064658E-01-0.20644881E-02 0.26983556E-04-0.16600424E-02 0.15418333E-01 0.57314002E-02 0.99999999E+00 the final mle estimates are : coefficient standard-error t-ratio beta 0 0.10042887E+02 0.96003737E+00 0.10460934E+02 beta 1 0.11161233E+01 0.60030764E-01 0.18592522E+02 beta 2 0.26997601E+00 0.23241762E+00 0.11615987E+01 beta 3 0.34845380E-01 0.58770112E-01 0.59290988E+00 beta 4 0.50666782E-01 0.39397937E-01 0.12860263E+01 delta 0 0.37199664E+00 0.21702301E+00 0.17140884E+01 delta 1 -0.12101966E-02 0.33709654E-02 -0.35900593E+00 delta 2 -0.25260125E-02 0.11086243E-01 -0.22785109E+00 delta 3 -0.58810575E-02 0.54338313E-02 -0.10823040E+01 delta 4 0.12434354E-01 0.20933733E-01 0.59398649E+00 delta 5 0.12845752E+00 0.33714472E-01 0.38101596E+01 delta 6 -0.10064658E-01 0.17854282E-01 -0.56371116E+00 delta 7 -0.20644881E-02 0.41415740E-03 -0.49847909E+01 delta 8 0.26983556E-04 0.80208930E-04 0.33641586E+00 delta 9 -0.16600424E-02 0.61040865E-03 -0.27195592E+01 delta10 0.15418333E-01 0.83388066E-01 0.18489855E+00 sigma-squared 0.57314002E-02 0.28459796E-02 0.20138585E+01 gamma 0.99999999E+00 0.20350980E-03 0.49137682E+04 log likelihood function = 0.45801487E+02 LR test of the one-sided error = 0.38722359E+02 with number of restrictions = [note that this statistic has a mixed chi-square distribution] number of iterations = 26 maximum number of iterations set at : 100 number of cross-sections = 35 number of time periods = 1 total number of observations = 35 thus there are: 0 obsns not in the panel covariance matrix : 0.92167175E+00 -0.30436727E-03 -0.20948034E+00 0.26898981E-02 0.17887309E-02 -0.65696772E-02 -0.27969627E-03 0.78979794E-03 -0.37755206E-03 0.43898820E-02 -0.65114780E-02 -0.30040273E-04 0.81059551E-04 -0.63439520E-06 0.11802018E-03 0.59518486E-02 0.23506092E-03 -0.16303334E-04 -0.30436727E-03 0.36036926E-02 0.18810381E-02 -0.30669596E-02 -0.58905677E-03 -0.39617187E-03 -0.36366271E-04 0.11054354E-03 -0.22787735E-04 0.34863787E-03 -0.57227853E-03 0.14878687E-03 0.89692376E-05 -0.15360286E-06 0.93321140E-05 -0.68035144E-03 0.10565411E-04 0.11709161E-06 -0.20948034E+00 0.18810381E-02 0.54017949E-01 -0.33121418E-02 -0.34532155E-02 0.12535161E-01 -0.79971872E-04 -0.60841996E-03 0.69877614E-04 -0.90095561E-03 0.62964081E-03 0.13478156E-03 -0.10983828E-04 -0.72345552E-06 -0.66196829E-05 -0.14088908E-02 -0.57567410E-04 0.57657033E-05 0.26898981E-02 -0.30669596E-02 -0.33121418E-02 0.34539261E-02 0.87487831E-03 -0.29417628E-02 0.63599045E-04 -0.20180014E-06 0.64916311E-04 -0.28448565E-03 0.96084818E-03 -0.77307618E-04 -0.98822164E-05 0.20739543E-06 -0.17916976E-04 -0.49540222E-03 0.11682128E-04 -0.25646952E-05 0.17887309E-02 -0.58905677E-03 -0.34532155E-02 0.87487831E-03 0.15521974E-02 -0.52429882E-02 0.65253320E-04 0.22938100E-03 -0.11669227E-04 0.99686368E-06 0.22708963E-03 -0.70435854E-04 -0.20648900E-05 0.45917622E-06 -0.64762616E-05 0.33161279E-03 -0.22554151E-05 -0.38829671E-06 -0.65696772E-02 -0.39617187E-03 0.12535161E-01 -0.29417628E-02 -0.52429882E-02 0.47098989E-01 -0.49410156E-03 -0.18487959E-02 0.23972926E-03 -0.45398367E-03 -0.13976731E-02 0.70688087E-03 0.35021596E-05 -0.58862595E-05 0.30087727E-04 -0.65769031E-02 -0.19733740E-04 0.45194155E-05 -0.27969627E-03 -0.36366271E-04 -0.79971872E-04 0.63599045E-04 0.65253320E-04 -0.49410156E-03 0.11363408E-04 0.13030945E-04 -0.66706555E-05 -0.21343750E-04 0.51096917E-04 -0.15883981E-04 -0.41386835E-06 -0.39285833E-08 -0.85441881E-06 0.29970863E-04 0.35330738E-07 0.47212788E-08 0.78979794E-03 0.11054354E-03 -0.60841996E-03 -0.20180014E-06 0.22938100E-03 -0.18487959E-02 0.13030945E-04 0.12290479E-03 -0.11910760E-04 0.94757467E-05 -0.25322606E-04 -0.16120704E-04 0.28507802E-06 0.23715149E-06 -0.69091999E-06 0.30406179E-03 -0.28965822E-05 -0.48382550E-07 -0.37755206E-03 -0.22787735E-04 0.69877614E-04 0.64916311E-04 -0.11669227E-04 0.23972926E-03 -0.66706555E-05 -0.11910760E-04 0.29526523E-04 -0.34953877E-04 0.62118029E-04 0.11976747E-04 -0.98307594E-06 -0.42901777E-07 -0.15178747E-05 -0.11241012E-03 -0.10285822E-05 0.10060967E-06 0.43898820E-02 0.34863787E-03 -0.90095561E-03 -0.28448565E-03 0.99686368E-06 -0.45398367E-03 -0.21343750E-04 0.94757467E-05 -0.34953877E-04 0.43822116E-03 -0.31614950E-03 -0.67159780E-04 0.50021482E-05 0.16582319E-06 0.71511659E-05 0.13089344E-03 0.13882508E-04 -0.13038999E-05 -0.65114780E-02 -0.57227853E-03 0.62964081E-03 0.96084818E-03 0.22708963E-03 -0.13976731E-02 0.51096917E-04 -0.25322606E-04 0.62118029E-04 -0.31614950E-03 0.11366656E-02 -0.15631879E-03 -0.12126065E-04 0.79461313E-07 -0.17531009E-04 -0.97488566E-03 0.12948685E-04 -0.66348219E-06 -0.30040273E-04 0.14878687E-03 0.13478156E-03 -0.77307618E-04 -0.70435854E-04 0.70688087E-03 -0.15883981E-04 -0.16120704E-04 0.11976747E-04 -0.67159780E-04 -0.15631879E-03 0.31877537E-03 0.17639312E-05 -0.36392930E-06 0.92411816E-06 -0.37208077E-03 0.73872822E-05 -0.98870570E-06 0.81059551E-04 0.89692376E-05 -0.10983828E-04 -0.98822164E-05 -0.20648900E-05 0.35021596E-05 -0.41386835E-06 0.28507802E-06 -0.98307594E-06 0.50021482E-05 -0.12126065E-04 0.17639312E-05 0.17152635E-06 0.25794659E-08 0.19494207E-06 0.35480829E-05 0.46456105E-07 -0.10008479E-07 -0.63439520E-06 -0.15360286E-06 -0.72345552E-06 0.20739543E-06 0.45917622E-06 -0.58862595E-05 -0.39285833E-08 0.23715149E-06 -0.42901777E-07 0.16582319E-06 0.79461313E-07 -0.36392930E-06 0.25794659E-08 0.64334724E-08 0.35504740E-08 0.13846674E-05 0.65443759E-07 -0.21385911E-08 0.11802018E-03 0.93321140E-05 -0.66196829E-05 -0.17916976E-04 -0.64762616E-05 0.30087727E-04 -0.85441881E-06 -0.69091999E-06 -0.15178747E-05 0.71511659E-05 -0.17531009E-04 0.92411816E-06 0.19494207E-06 0.35504740E-08 0.37259872E-06