A likelihood-based time series modeling approach for application in dendrochronology to examine the growth-climate relations and forest disturbance history.

Lee, E Henry; Wickham, Charlotte; Beedlow, Peter A; Waschmann, Ronald S; Tingey, David T

Lee, E Henry; Wickham, Charlotte; Beedlow, Peter A; Waschmann, Ronald S; Tingey, David T.

Afiliación

Lee EH; US Environmental Protection Agency, 200 SW 35 Street, Corvallis, OR 97333.
Wickham C; Oregon State University, Department of Statistics, Corvallis, OR 97331.
Beedlow PA; US Environmental Protection Agency, 200 SW 35 Street, Corvallis, OR 97333.
Waschmann RS; US Environmental Protection Agency, 200 SW 35 Street, Corvallis, OR 97333.
Tingey DT; US Environmental Protection Agency, 200 SW 35 Street, Corvallis, OR 97333.

Dendrochronologia (Verona) ; 45: 132-144, 2017 Oct 01.

Article en En | MEDLINE | ID: mdl-29479167

Palabras clave

Seasonal time series; dendrochronology; intervention analysis; maximum likelihood; outlier detection; spline regression

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Dendrochronologia (Verona) Año: 2017 Tipo del documento: Article