Table of Contents

Catch subject to random effects, half of s from experiments

DETTE ER EN KLADD!!

First cohort born 1994

Num. cohorts Trajectories Estimates
1
cod.par
# Number of parameters = 4  Objective function value = -6.14776  Maximum gradient component = 0.00936226
# N0:
 0.288638
# q:
 1.00000
# logs:
-1.50410000000
# M:
0.499999999998
# logscc:
0.652643644939
# ce:
 0.0153227287758 0.118233982553 -0.0538251901942 -0.493230383608 -0.244175878220 0.576876695236 0.835842498796 -0.473597367161 1.04663337016 0.00000000000 0.00000000000
2 Failure!
cod.par
# Number of parameters = 4  Objective function value = -6.14776  Maximum gradient component = 0.00936226
# N0:
 0.288638
# q:
 1.00000
# logs:
-1.50410000000
# M:
0.499999999998
# logscc:
0.652643644939
# ce:
 0.0153227287758 0.118233982553 -0.0538251901942 -0.493230383608 -0.244175878220 0.576876695236 0.835842498796 -0.473597367161 1.04663337016 0.00000000000 0.00000000000
3 Failure!
cod.par
# Number of parameters = 4  Objective function value = -6.14776  Maximum gradient component = 0.00936226
# N0:
 0.288638
# q:
 1.00000
# logs:
-1.50410000000
# M:
0.499999999998
# logscc:
0.652643644939
# ce:
 0.0153227287758 0.118233982553 -0.0538251901942 -0.493230383608 -0.244175878220 0.576876695236 0.835842498796 -0.473597367161 1.04663337016 0.00000000000 0.00000000000
4 Failure!
cod.par
# Number of parameters = 4  Objective function value = -6.14776  Maximum gradient component = 0.00936226
# N0:
 0.288638
# q:
 1.00000
# logs:
-1.50410000000
# M:
0.499999999998
# logscc:
0.652643644939
# ce:
 0.0153227287758 0.118233982553 -0.0538251901942 -0.493230383608 -0.244175878220 0.576876695236 0.835842498796 -0.473597367161 1.04663337016 0.00000000000 0.00000000000

First cohort born 1995

Num. cohorts Trajectories Estimates
1
cod.par
# Number of parameters = 4  Objective function value = 13.1417  Maximum gradient component = 0.174624
# N0:
 0.246395
# q:
 0.429824
# logs:
-1.41240000000
# M:
0.217776356455
# logscc:
-0.0278068534750
# ce:
 0.0461294492280 0.241707735968 0.114328985406 0.449738238686 0.0164801283141 1.00707914803 -0.389672834114 -0.178797418067 -0.645829619480 0.00000000000
2 Failure!
cod.par
# Number of parameters = 4  Objective function value = 13.1417  Maximum gradient component = 0.174624
# N0:
 0.246395
# q:
 0.429824
# logs:
-1.41240000000
# M:
0.217776356455
# logscc:
-0.0278068534750
# ce:
 0.0461294492280 0.241707735968 0.114328985406 0.449738238686 0.0164801283141 1.00707914803 -0.389672834114 -0.178797418067 -0.645829619480 0.00000000000
3 Failure!
cod.par
# Number of parameters = 4  Objective function value = 13.1417  Maximum gradient component = 0.174624
# N0:
 0.246395
# q:
 0.429824
# logs:
-1.41240000000
# M:
0.217776356455
# logscc:
-0.0278068534750
# ce:
 0.0461294492280 0.241707735968 0.114328985406 0.449738238686 0.0164801283141 1.00707914803 -0.389672834114 -0.178797418067 -0.645829619480 0.00000000000
4 Failure!
cod.par
# Number of parameters = 4  Objective function value = 13.1417  Maximum gradient component = 0.174624
# N0:
 0.246395
# q:
 0.429824
# logs:
-1.41240000000
# M:
0.217776356455
# logscc:
-0.0278068534750
# ce:
 0.0461294492280 0.241707735968 0.114328985406 0.449738238686 0.0164801283141 1.00707914803 -0.389672834114 -0.178797418067 -0.645829619480 0.00000000000

First cohort born 1996

Num. cohorts Trajectories Estimates
1
cod.par
# Number of parameters = 4  Objective function value = -5.80894  Maximum gradient component = 0.00233832
# N0:
 0.261511
# q:
 0.323988
# logs:
-1.97770000000
# M:
0.342443855602
# logscc:
0.127187465806
# ce:
 0.0365373811930 -0.155375681935 0.568465604023 -0.876113869794 0.968408858079 -0.0679518864525 0.381972330698 0.352186899391 -0.618144569235
2
cod.par
# Number of parameters = 5  Objective function value = -7.35253  Maximum gradient component = 0.137720
# N0:
 0.144412 0.359912
# q:
 0.575364
# logs:
-1.97770000000
# M:
0.296066215832
# logscc:
0.273222429192
# ce:
 0.0912312344306 -0.195145130198 0.342749943194 -1.02609130276 0.611606548791 -0.270331012248 0.119833320829 0.209245352992 -0.757831444470 -0.0616099528316 0.914475438102 -0.928416988602 0.0970724257613 0.179184396025 0.332413712475 0.163496504811 1.18839275569
3 Failure!
cod.par
# Number of parameters = 5  Objective function value = -7.35253  Maximum gradient component = 0.137720
# N0:
 0.144412 0.359912
# q:
 0.575364
# logs:
-1.97770000000
# M:
0.296066215832
# logscc:
0.273222429192
# ce:
 0.0912312344306 -0.195145130198 0.342749943194 -1.02609130276 0.611606548791 -0.270331012248 0.119833320829 0.209245352992 -0.757831444470 -0.0616099528316 0.914475438102 -0.928416988602 0.0970724257613 0.179184396025 0.332413712475 0.163496504811 1.18839275569
4
cod.par
# Number of parameters = 7  Objective function value = -9.45945  Maximum gradient component = 0.00654526
# N0:
 0.0802578 0.202592 0.377390 0.166590
# q:
 1.00000
# logs:
-1.97770000000
# M:
0.217544005673
# logscc:
0.445162795235
# ce:
 0.335196532387 -0.0582111812845 0.291313735246 -1.02655712370 0.450046773203 -0.295361586792 0.0428256134393 0.194062658250 -0.770446473812 -0.0672273111564 0.785375266918 -0.944683928067 0.0928554197753 0.109811133250 0.212511693394 0.147155153104 0.881708820754 1.97060477418 -0.717288019452 0.123877537107 -0.126262763861 -0.178586509502 0.535943096697 0.801196055213 -0.0721757870788 0.129870931529 -0.497180934146 -0.733471379312 0.528175477038 0.546698126582

First cohort born 1997

Num. cohorts Trajectories Estimates
1
cod.par
# Number of parameters = 4  Objective function value = -2.50375  Maximum gradient component = 2.61220
# N0:
 0.250939
# q:
 0.792563
# logs:
-1.97770000000
# M:
0.185975447920
# logscc:
0.138965873444
# ce:
 -0.0594919365307 0.789595393759 -1.18526336585 -0.117216928944 -0.0868621741448 0.0285080986453 0.0278050938863 0.901374488676
2 Failure!
cod.par
# Number of parameters = 4  Objective function value = -2.50375  Maximum gradient component = 2.61220
# N0:
 0.250939
# q:
 0.792563
# logs:
-1.97770000000
# M:
0.185975447920
# logscc:
0.138965873444
# ce:
 -0.0594919365307 0.789595393759 -1.18526336585 -0.117216928944 -0.0868621741448 0.0285080986453 0.0278050938863 0.901374488676
3
cod.par
# Number of parameters = 6  Objective function value = -5.04438  Maximum gradient component = 0.373812
# N0:
 0.199105 0.373690 0.160838
# q:
 1.00000
# logs:
-1.97770000000
# M:
0.175620625514
# logscc:
0.334998629365
# ce:
 -0.0632721131365 0.750487444417 -1.06599045128 -0.00978565379466 -0.00406666722670 0.0931610203808 0.0773196442541 0.810032874836 2.04334514391 -0.799558877047 0.0589590849461 -0.225792709925 -0.284041467517 0.455217854317 0.730540548081 -0.0748560116542 0.252042546083 -0.524118381712 -0.799872622968 0.474556530744 0.460929986212
4 Failure!
cod.par
# Number of parameters = 6  Objective function value = -5.04438  Maximum gradient component = 0.373812
# N0:
 0.199105 0.373690 0.160838
# q:
 1.00000
# logs:
-1.97770000000
# M:
0.175620625514
# logscc:
0.334998629365
# ce:
 -0.0632721131365 0.750487444417 -1.06599045128 -0.00978565379466 -0.00406666722670 0.0931610203808 0.0773196442541 0.810032874836 2.04334514391 -0.799558877047 0.0589590849461 -0.225792709925 -0.284041467517 0.455217854317 0.730540548081 -0.0748560116542 0.252042546083 -0.524118381712 -0.799872622968 0.474556530744 0.460929986212