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admb_real:n3_cohorts_per_run_monotonic

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Model estimating 3+ classes only --- monotonic survey data

Summary

TBD.

First cohort born 1994

Num. cohorts Trajectories Estimates
1
cod.par
# Number of parameters = 4  Objective function value = -3.37978  Maximum gradient component = 1.95145e-06
# N0:
 0.516109
# q:
 0.475306
# logs:
-0.922473038606
# M:
0.229629359685
 
2
cod.par
# Number of parameters = 5  Objective function value = -7.88727  Maximum gradient component = 3.20101e-06
# N0:
 0.513446 0.298678
# q:
 0.452489
# logs:
-1.02581794259
# M:
0.227541762701
 
3
cod.par
# Number of parameters = 6  Objective function value = -12.6473  Maximum gradient component = 3.05992e-05
# N0:
 0.509808 0.297279 0.250449
# q:
 0.414260
# logs:
-1.07487783663
# M:
0.224407491868
 
4
cod.par
# Number of parameters = 7  Objective function value = -20.4626  Maximum gradient component = 0.000311131
# N0:
 0.504020 0.294245 0.247969 0.484308
# q:
 0.417562
# logs:
-1.20560858664
# M:
0.220722003756
 

First cohort born 1995

Num. cohorts Trajectories Estimates
1
cod.par
 
2
cod.par
 
3
cod.par
 
4
cod.par
 

First cohort born 1996

Num. cohorts Trajectories Estimates
1
cod.par
 
2
cod.par
 
3
cod.par
 
4
cod.par
 

First cohort born 1997

Num. cohorts Trajectories Estimates
1
cod.par
 
2
cod.par
 
3
cod.par
 
4
cod.par
 
admb_real/n3_cohorts_per_run_monotonic.1285250049.txt.gz · Last modified: 2010/09/23 13:54 by lennartfr