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admb_real:n3_re_catch:various_experiments:s_from_experiments

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Catch subject to random effects, s from experiments

DETTE ER Å REGNE SOM EN KLADD!! -Lennart

First cohort born 1994

Num. cohorts Trajectories Estimates
1 Failure!
cod.par
# Number of parameters = 4  Objective function value = -7.33060  Maximum gradient component = 6.46746e-05
# N0:
 0.548591
# q:
 0.459419
# logs:
-0.922470000000
# M:
0.249237586301
# logscc:
-5.00000000000
# ce:
 0.000377290093281 0.00273882364520 0.00407593597726 -0.000977570759025 0.000730624317501 0.00731255424175 0.0103107496913 
2 Failure!
cod.par
# Number of parameters = 5  Objective function value = -15.2389  Maximum gradient component = 8.45156e-05
# N0:
 0.538587 0.311686
# q:
 0.440931
# logs:
-1.02580000000
# M:
0.242886622308
# logscc:
-5.00000000000
# ce:
 0.000439849356778 0.00327939178640 0.00507170236167 -0.000611440916743 0.00179343168477 0.0100956791154 0.0133302663255 0.000208924309061 0.000289593313266 -0.00337027299937 -0.00232831831225 -0.00242041008109 0.00847454222119 
3 Failure!
cod.par
# Number of parameters = 6  Objective function value = -20.8442  Maximum gradient component = 0.000259234
# N0:
 0.542681 0.314314 0.252907
# q:
 0.404230
# logs:
-1.00510000000
# M:
0.244485239128
# logscc:
-5.00000000000
# ce:
 0.000343936391233 0.00271027253117 0.00439841759712 -0.000141729869677 0.00294782509740 0.0113491178682 0.0136768131861 0.000188660826048 0.000438818053972 -0.00186502248858 -0.000187093554934 -0.000312091332684 0.00966686437904 -5.99591349423e-05 -0.00230760745805 -0.00546764872544 -0.0131789002166 0.000254030994104 
4 Failure!
cod.par
# Number of parameters = 7  Objective function value = -26.1091  Maximum gradient component = 3.30969e-05
# N0:
 0.552902 0.319755 0.257435 0.504936
# q:
 0.392208
# logs:
-1.02210000000
# M:
0.250184018591
# logscc:
-5.00000000000
# ce:
 0.000314571413962 0.00252178535803 0.00407189417277 -0.000403487213657 0.00319510471257 0.0120812064095 0.0143000613296 0.000182226648889 0.000432461558481 -0.00172028636265 0.000258927479070 0.000200663215995 0.0103647233363 -5.32075146726e-05 -0.00222448750377 -0.00517310956409 -0.0128958591980 0.000680070491401 -3.28748988415e-05 0.000882656017611 -0.00601288635951 -0.00197531830451 

First cohort born 1995

Num. cohorts Trajectories Estimates
1 Failure!
cod.par
# Number of parameters = 4  Objective function value = -8.32831  Maximum gradient component = 8.01372e-05
# N0:
 0.297939
# q:
 0.425024
# logs:
-1.20470000000
# M:
0.225579457668
# logscc:
-5.00000000000
# ce:
 0.000352218191392 0.00101856008673 -0.00227523206302 -0.000487963720146 -0.00121781564533 0.0138112081374 
2 Failure!
cod.par
# Number of parameters = 5  Objective function value = -14.3945  Maximum gradient component = 9.91144e-05
# N0:
 0.308295 0.250117
# q:
 0.371551
# logs:
-1.12470000000
# M:
0.235660911368
# logscc:
-5.00000000000
# ce:
 0.000265318447546 0.00108450534183 0.000387159112653 0.00317641364610 0.00251719312911 0.0142087909463 1.17450348069e-05 -0.00187431057504 -0.00409013670752 -0.0130609809087 0.00255146715508 
3 Failure!
cod.par
# Number of parameters = 6  Objective function value = -19.9002  Maximum gradient component = 9.53290e-05
# N0:
 0.330025 0.267373 0.537862
# q:
 0.350410
# logs:
-1.12950000000
# M:
0.259047381997
# logscc:
-5.00000000000
# ce:
 0.000217646580530 0.000846211237546 0.000167890418096 0.00353080298389 0.00322693785310 0.0146164756946 8.58698878148e-08 -0.00179868872691 -0.00368625871322 -0.0121291234698 0.00294680968387 -3.53591796863e-07 0.00177611035412 -0.00536522301945 -0.00110992546784 
4 Failure!
cod.par
# Number of parameters = 7  Objective function value = -22.7051  Maximum gradient component = 5.48184e-05
# N0:
 0.393041 0.316298 0.640832 0.824551
# q:
 0.315062
# logs:
-1.06410000000
# M:
0.317498984195
# logscc:
-5.00000000000
# ce:
 0.000115344420880 0.000262173422646 -0.000813966413288 0.00272692283556 0.00315931244716 0.0125023525097 -4.51631717569e-05 -0.00173995204784 -0.00338799306533 -0.00988541739672 0.00247037191670 -3.93401352936e-05 0.000930634038689 -0.00474723542176 -0.00118206344571 0.000545628390254 -0.000591091042927 0.000771968695545 

First cohort born 1996

Num. cohorts Trajectories Estimates
1
cod.par
# Number of parameters = 4  Objective function value = -6.93887  Maximum gradient component = 3.52674e-06
# N0:
 0.347304
# q:
 0.250922
# logs:
-1.17960000000
# M:
0.331696312266
# logscc:
-5.00000000000
# ce:
 5.14404561010e-05 -0.000555698323730 0.000456053002796 -0.00559977507358 0.00569623971803 
2
cod.par
# Number of parameters = 5  Objective function value = -12.7675  Maximum gradient component = 9.06203e-06
# N0:
 0.424685 0.931035
# q:
 0.212266
# logs:
-1.19240000000
# M:
0.385198556060
# logscc:
-5.00000000000
# ce:
 2.02820707462e-05 -0.000575714304630 0.000695807428045 -0.00418587168065 0.00541666573082 -2.43207644396e-05 0.00141744435911 -0.00278928991818 4.76083714106e-05 
3
cod.par
# Number of parameters = 6  Objective function value = -15.8355  Maximum gradient component = 5.53942e-05
# N0:
 0.566565 1.27163 1.76017
# q:
 0.166252
# logs:
-1.09780000000
# M:
0.449691748729
# logscc:
-4.99999999997
# ce:
 -5.54832768582e-06 -0.000464696683238 0.000640341644017 -0.00220894746071 0.00377433912216 -3.53360492022e-05 0.000666000982128 -0.00206483459170 -0.000110947992273 0.000208121781172 -0.000575747104030 0.000183760777893 
4
cod.par
# Number of parameters = 7  Objective function value = -19.7857  Maximum gradient component = 1.61017e-05
# N0:
 0.451222 0.993752 1.36725 0.943421
# q:
 0.202304
# logs:
-1.15410000000
# M:
0.400340021428
# logscc:
-5.00000000000
# ce:
 1.03986799563e-05 -0.000554353495232 0.000617480272606 -0.00360217086925 0.00484138878486 -2.85966796779e-05 0.00115697573232 -0.00256429433285 -1.63883792910e-05 0.000344377517595 -0.000601526616649 0.000503269345694 -6.48876799768e-05 -2.48633958541e-05 

First cohort born 1997

Num. cohorts Trajectories Estimates
1 Failure!
cod.par
# Number of parameters = 7  Objective function value = -19.7857  Maximum gradient component = 1.61017e-05
# N0:
 0.451222 0.993752 1.36725 0.943421
# q:
 0.202304
# logs:
-1.15410000000
# M:
0.400340021428
# logscc:
-5.00000000000
# ce:
 1.03986799563e-05 -0.000554353495232 0.000617480272606 -0.00360217086925 0.00484138878486 -2.85966796779e-05 0.00115697573232 -0.00256429433285 -1.63883792910e-05 0.000344377517595 -0.000601526616649 0.000503269345694 -6.48876799768e-05 -2.48633958541e-05 
2 Failure!
cod.par
# Number of parameters = 5  Objective function value = -11.0125  Maximum gradient component = 169484.
# N0:
 0.291101 0.459227
# q:
 0.575764
# logs:
-1.07700000000
# M:
0.411379628845
# logscc:
0.935599745589
# ce:
 0.00347876090454 0.561182403693 0.0976693543127 0.129884483000 0.0194073963076 0.00295408144438 0.0622293235728 
3 Failure!
cod.par
# Number of parameters = 5  Objective function value = -11.0125  Maximum gradient component = 169484.
# N0:
 0.291101 0.459227
# q:
 0.575764
# logs:
-1.07700000000
# M:
0.411379628845
# logscc:
0.935599745589
# ce:
 0.00347876090454 0.561182403693 0.0976693543127 0.129884483000 0.0194073963076 0.00295408144438 0.0622293235728 
4 Failure!
cod.par
# Number of parameters = 5  Objective function value = -11.0125  Maximum gradient component = 169484.
# N0:
 0.291101 0.459227
# q:
 0.575764
# logs:
-1.07700000000
# M:
0.411379628845
# logscc:
0.935599745589
# ce:
 0.00347876090454 0.561182403693 0.0976693543127 0.129884483000 0.0194073963076 0.00295408144438 0.0622293235728 
admb_real/n3_re_catch/various_experiments/s_from_experiments.1285760985.txt.gz · Last modified: 2010/09/29 11:49 by lennartfr