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Volumn 72, Issue 1, 2002, Pages 57-76

Fitting population models incorporating process noise and observation error

Author keywords

Beverton Holt model; Kalman filter; Least squares cf. state space models; Modelfitting; Observation error; Parameter estimation; Population models; Process noise; Ricker model; Time series

Indexed keywords

ECOLOGICAL MODELING; KALMAN FILTER; NOISE; POPULATION MODELING; TIME SERIES;

EID: 0036160013     PISSN: 00129615     EISSN: None     Source Type: Journal    
DOI: 10.1890/0012-9615(2002)072[0057:FPMIPN]2.0.CO;2     Document Type: Article
Times cited : (378)

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  • 72
    • 0027950720 scopus 로고
    • Density dependence tests, and largely futile comments: Answers to Holyoak and Lawton (1993) and Hanski, Woiwood, and Perry (1993)
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    • Wolda, H.1    Dennis, B.2    Taper, M.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.