maximum likelihood

Legacy ID: 
3 230
Publication Title: 

A population dynamics model for elk in a high elevation desert habitat

Authors: 
Lubow, B.C. and K.A. Schoenecker
Updated Date (text): 
2011-03-08
Parent Publication Title: 
Publication Type: 
Archive number: 
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Pub Abstract: 
Publication Title: 

Statistical modeling and inference from carnivore survey data

Authors: 
Royle, J.A., T.R. Stanley, and P.M. Lukacs
Publication Date: 
2008
Updated Date (text): 
2009-01-14
Parent Publication Title: 
Noninvasive survey methods for carnivores
Publication Type: 
Archive number: 
2008/0053 FORT

Pub Abstract: 
Publication Title: 

Incorporating classification uncertainty in competing-risks nest-failure analysis

Authors: 
Etterson, M.A. and T.R. Stanley
Publication Date: 
2008
Updated Date (text): 
2009-01-14
Parent Publication Title: 
The Auk
Publication Type: 
Archive number: 
2008/0059 FORT

Pub Abstract: 
Publication Title: 

Modeling and estimation of stage-specific daily survival probabilities of nests

Authors: 
Stanley, T.R
Publication Date: 
2000
Updated Date (text): 
2009-06-16
Parent Publication Title: 
Ecology
Publication Type: 
Archive number: 
2000/0020 MESC

Pub Abstract: 

In studies of avian nesting success, it is often of interest to estimate stage-specific daily survival probabilities of nests. When data can be partitioned by nesting stage (e.g., incubation stage, nestling stage), piecewise application of the Mayfield method or Johnson’s method is appropriate. However, when the data contain nests where the transition from one stage to the next occurred during the interval between visits, piecewise approaches are inappropriate. In this paper, I present a model that allows joint estimation of stage-specific daily survival probabilities even when the time of transition between stages is unknown. The model allows interval lengths between visits to nests to vary, and the exact time of failure of nests does not need to be known. The performance of the model at various sample sizes and interval lengths between visits was investigated using Monte Carlo simulations, and it was found that the model performed quite well: bias was small and confidence-interval coverage was at the nominal 95% rate. A SAS program for obtaining maximum likelihood estimates of parameters, and their standard errors, is provided in the Appendix.

Publication Title: 

Systematics of Myotis occultus (Chiroptera: Vespertilionidae) inferred from sequences of two mitochondrial genes

Authors: 
Piaggio, A.J., E.W. Valdez, M.A. Bogan, and G.S. Spicer
Publication Date: 
2002
Updated Date (text): 
2009-06-11
Parent Publication Title: 
Journal of Mammalogy
Publication Type: 
Archive number: 
2002/0018 FORT

Pub Abstract: 
Publication Title: 

Negative binomial models for abundance estimation of multiple closed populations

Authors: 
Boyce, M.S, D.I. Mackenzie, B.F.J. Manly, M.A. Haroldson, and D. Moody
Publication Date: 
2001
Updated Date (text): 
2010-05-07
Parent Publication Title: 
Journal of Wildlife Management
Publication Type: 
Archive number: 
2001/0098 MESC
Species: 

Pub Abstract: