Fitting population growth models in the presence of measurement and detection error

Ecological Modelling

Volumn 263, Issue , 2013, Pages 244-250

  Hefley, Trevor J ^a,b   Tyre, Andrew J ^b   Blankenship, Erin E ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Calibrated Bayes; Detection error; N mixture model; Observation error; State space model; Theta logistic population growth model

Indexed keywords

CHEMICAL DETECTION; COMPUTER SIMULATION; ERRORS; MIXTURES; PARAMETER ESTIMATION; STATE SPACE METHODS; STOCHASTIC MODELS; TIME SERIES;

CALIBRATED BAYES; DETECTION ERROR; LOGISTIC POPULATION; OBSERVATION ERRORS; STATE-SPACE MODELS;

POPULATION STATISTICS;

BAYESIAN ANALYSIS; CALIBRATION; DATA SET; ERROR ANALYSIS; GROWTH MODELING; LOGISTICS; POPULATION GROWTH; STOCHASTICITY; TIME SERIES;

EID: 85027939832     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2013.05.003     Document Type: Article

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