Table of Contents

Catch subject to random effects, double of 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 = -6.18818  Maximum gradient component = 6.35141e-05
# N0:
 0.773263
# q:
 0.384684
# logs:
-0.117830000000
# M:
0.353643801530
# logscc:
-5.00000000000
# ce:
 0.000136720218639 0.00118230262480 0.00276726835657 0.00304079491812 0.00216905344290 0.00283478139198 0.00250958943690 1.59266038219e-05 0.000756851200883 0.00000000000 0.00000000000
2 Failure!
cod.par
# Number of parameters = 5  Objective function value = -10.5606  Maximum gradient component = 0.000181738
# N0:
 0.612042 0.357469
# q:
 0.378421
# logs:
-0.117830000000
# M:
0.281948171457
# logscc:
-5.00000000000
# ce:
 0.000417497484131 0.00357799004430 0.00865466070685 0.0108914434285 0.00655768823939 0.00563483958551 0.00374730962571 0.000429547346953 0.000857576881971 0.00000000000 0.00000000000 0.000139193699533 0.000924301200212 0.00245151442311 0.00205809413758 0.000921605855324 0.00152102848199 -0.000667239655129 -0.000579357249305 -0.00103706057774 0.00000000000
3 Failure!
cod.par
# Number of parameters = 6  Objective function value = -14.1173  Maximum gradient component = 1.65860e-06
# N0:
 0.611237 0.357477 0.296024
# q:
 0.339429
# logs:
-0.0261030000000
# M:
0.281038347052
# logscc:
-5.00000000000
# ce:
 0.000254222434091 0.00220585372593 0.00535755221826 0.00672302541149 0.00434722869095 0.00421328736509 0.00308328795248 0.000468696568401 0.000665469426342 0.00000000000 0.00000000000 9.12185664562e-05 0.000617491574475 0.00169972522023 0.00163026447483 0.000899659354241 0.00149948513033 -0.000332042779065 -0.000341117504955 -0.000741379143771 0.00000000000 0.000155529864915 0.000769459108584 0.00125202588900 3.34477651316e-05 0.000623845829145 -0.000359922676037 -0.000341633606550 -0.000226522751999 -0.000633263967769
4 Failure!
cod.par
# Number of parameters = 6  Objective function value = -14.1173  Maximum gradient component = 1.65860e-06
# N0:
 0.611237 0.357477 0.296024
# q:
 0.339429
# logs:
-0.0261030000000
# M:
0.281038347052
# logscc:
-5.00000000000
# ce:
 0.000254222434091 0.00220585372593 0.00535755221826 0.00672302541149 0.00434722869095 0.00421328736509 0.00308328795248 0.000468696568401 0.000665469426342 0.00000000000 0.00000000000 9.12185664562e-05 0.000617491574475 0.00169972522023 0.00163026447483 0.000899659354241 0.00149948513033 -0.000332042779065 -0.000341117504955 -0.000741379143771 0.00000000000 0.000155529864915 0.000769459108584 0.00125202588900 3.34477651316e-05 0.000623845829145 -0.000359922676037 -0.000341633606550 -0.000226522751999 -0.000633263967769

First cohort born 1995

Num. cohorts Trajectories Estimates
1 Failure!
cod.par
# Number of parameters = 4  Objective function value = -4.05355  Maximum gradient component = 2.82560e-05
# N0:
 0.276513
# q:
 0.374517
# logs:
-0.0261030000000
# M:
0.191060153394
# logscc:
-5.00000000000
# ce:
 0.000500691626240 0.00349559507504 0.00993664184832 0.00732088767510 0.00349216982357 0.00285082989967 -2.03317385916e-05 -0.000220497096428 -0.000754004795750 0.00000000000
2 Failure!
cod.par
# Number of parameters = 4  Objective function value = -4.05355  Maximum gradient component = 2.82560e-05
# N0:
 0.276513
# q:
 0.374517
# logs:
-0.0261030000000
# M:
0.191060153394
# logscc:
-5.00000000000
# ce:
 0.000500691626240 0.00349559507504 0.00993664184832 0.00732088767510 0.00349216982357 0.00285082989967 -2.03317385916e-05 -0.000220497096428 -0.000754004795750 0.00000000000
3 Failure!
cod.par
# Number of parameters = 6  Objective function value = -9.78622  Maximum gradient component = 11867.1
# N0:
 0.362810 0.313067 0.731842
# q:
 0.292531
# logs:
-0.0261030000000
# M:
0.494347162741
# logscc:
0.517938454207
# ce:
 0.00268963506624 0.0298520756358 0.201275764081 0.488106778608 0.329745428097 0.620928840800 0.0611766010315 0.0122168633407 -0.0249918529141 0.00000000000 0.0114994938769 0.100911255509 0.483290773957 0.370232990968 0.599795311403 0.211926234660 0.104843293576 0.0311852787129 -0.000475349560422 0.0121984937296 0.216279342807 0.621218576346 0.682314248567 0.422945993660 0.489054631409 0.135260628463 1.41793514543
4 Failure!
cod.par
# Number of parameters = 6  Objective function value = -9.78622  Maximum gradient component = 11867.1
# N0:
 0.362810 0.313067 0.731842
# q:
 0.292531
# logs:
-0.0261030000000
# M:
0.494347162741
# logscc:
0.517938454207
# ce:
 0.00268963506624 0.0298520756358 0.201275764081 0.488106778608 0.329745428097 0.620928840800 0.0611766010315 0.0122168633407 -0.0249918529141 0.00000000000 0.0114994938769 0.100911255509 0.483290773957 0.370232990968 0.599795311403 0.211926234660 0.104843293576 0.0311852787129 -0.000475349560422 0.0121984937296 0.216279342807 0.621218576346 0.682314248567 0.422945993660 0.489054631409 0.135260628463 1.41793514543

First cohort born 1996

Num. cohorts Trajectories Estimates
1 Failure!
cod.par
# Number of parameters = 4  Objective function value = -9.79939  Maximum gradient component = 5.62098e-06
# N0:
 0.333051
# q:
 0.252336
# logs:
-0.591450000000
# M:
0.317730908211
# logscc:
-5.00000000000
# ce:
 0.000108702590910 0.000466555372056 0.00138436368349 -0.000621190759264 0.00247466134503 0.000417426791023 0.000320388634610 2.87056934705e-05 -0.00100253615380
2 Failure!
cod.par
# Number of parameters = 5  Objective function value = -15.5394  Maximum gradient component = 0.000474076
# N0:
 0.247496 0.466624
# q:
 0.377015
# logs:
-0.591450000000
# M:
0.217186007307
# logscc:
-5.00000000000
# ce:
 0.00171731169796 0.00946198654603 0.0152942881960 0.00849352581886 0.00610101945580 0.000613258303933 -0.000444873462007 -0.000518270744717 -0.00199889260168 0.00677222476738 0.0590809571833 0.0738600619215 0.0478036778805 0.0294157427441 0.0205681022716 0.00963049263651 0.0154821122710
3
cod.par
# Number of parameters = 6  Objective function value = -19.5092  Maximum gradient component = 52985.6
# N0:
 0.163901 0.477003 0.626550
# q:
 0.522279
# logs:
-0.591450000000
# M:
0.489453730661
# logscc:
0.606346914788
# ce:
 -0.00677397595532 -0.0497777852363 0.0517973984635 -0.0702814877230 0.588569202489 0.162336294158 0.153859493497 0.0428645516348 -0.0626714303713 0.0154067517126 0.526164826658 0.232852421402 0.448665577644 0.363976364035 0.469169875062 0.118228390177 1.29064607020 0.0372792210499 0.0630542738616 0.260779743736 0.232806641930 0.375417333847 0.444793386666 0.748498083267
4 Failure!
cod.par
# Number of parameters = 7  Objective function value = -23.8358  Maximum gradient component = 468.396
# N0:
 0.119031 0.254331 0.426414 0.377062
# q:
 0.786117
# logs:
-0.591450000000
# M:
0.498497091095
# logscc:
0.829146394321
# ce:
 0.00538281287047 0.0315591349604 0.263013157753 0.0231925378384 0.893001740376 0.209455507130 0.214061562308 0.0572999199564 -0.0319269540079 0.00561494642989 0.203254699107 0.137677716679 0.487897153164 0.369493848388 0.612298008769 0.0750963433072 1.31080511243 0.0321390488914 0.0693411497611 0.288356624546 0.226060969804 0.755476975875 0.503137055051 0.368119953872 0.00110981071481 0.00322257756323 -0.0232287183918 -0.0326563744326 0.118152165149 0.115013200444

First cohort born 1997

Num. cohorts Trajectories Estimates
1
cod.par
# Number of parameters = 4  Objective function value = -3.79006  Maximum gradient component = 197.064
# N0:
 0.197620
# q:
 1.00000
# logs:
-0.591450000000
# M:
0.499879144788
# logscc:
0.872727584817
# ce:
 0.00436538758351 0.187793295417 0.109482785922 0.423795943086 0.358315548509 0.597434744425 0.0714166908376 1.25384842004
2 Failure!
cod.par
# Number of parameters = 5  Objective function value = -11.4740  Maximum gradient component = 272376.
# N0:
 0.236879 0.349378
# q:
 0.999937
# logs:
-0.591450000000
# M:
0.498787863960
# logscc:
0.856596424559
# ce:
 0.0101831420900 0.563647260337 0.158879185253 0.550538135080 0.346654913271 0.550177191008 0.0764831223556 1.23212740842 0.0362978784726 0.0774318614741 0.468490307014 0.269346052344 0.366319907157 0.191482391245 1.17804113775
3 Failure!
cod.par
# Number of parameters = 6  Objective function value = -15.1501  Maximum gradient component = 558.114
# N0:
 0.189197 0.334649 0.282546
# q:
 0.997068
# logs:
-0.591450000000
# M:
0.496568732517
# logscc:
0.893471101866
# ce:
 0.00321166565636 0.162371313916 0.107796780978 0.443463174828 0.325515475338 0.685561289793 0.0641416776593 1.28074243882 0.0318936160557 0.0728749284349 0.443930670815 0.285009681976 0.400782608193 0.154593681138 1.26843020653 -7.47863954984e-05 -0.00340291388713 -0.0357380760231 -0.0465401982602 0.100462377193 0.106633237786
4 Failure!
cod.par
# Number of parameters = 6  Objective function value = -15.1501  Maximum gradient component = 558.114
# N0:
 0.189197 0.334649 0.282546
# q:
 0.997068
# logs:
-0.591450000000
# M:
0.496568732517
# logscc:
0.893471101866
# ce:
 0.00321166565636 0.162371313916 0.107796780978 0.443463174828 0.325515475338 0.685561289793 0.0641416776593 1.28074243882 0.0318936160557 0.0728749284349 0.443930670815 0.285009681976 0.400782608193 0.154593681138 1.26843020653 -7.47863954984e-05 -0.00340291388713 -0.0357380760231 -0.0465401982602 0.100462377193 0.106633237786