Modelling population dynamics: Model formulation, fitting and assessment using state-space methods

Ken Newman; Stephen Terrence Buckland; Byron Morgan; Ruth King; David Louis Borchers; Diana Cole; Panagiotis Besbeas; Olivier Gimenez; Len Thomas

doi:10.1007/978-1-4939-0977-3

Modelling population dynamics: Model formulation, fitting and assessment using state-space methods

Ken Newman, Stephen Terrence Buckland, Byron Morgan, Ruth King, David Louis Borchers, Diana Cole, Panagiotis Besbeas, Olivier Gimenez, Len Thomas

School of Mathematics

Research output: Book/Report › Book

Original language	English
Place of Publication	New York
Publisher	Springer
Number of pages	23
ISBN (Print)	978-1-4939-0976-6
DOIs	https://doi.org/10.1007/978-1-4939-0977-3
Publication status	Published - 2014

Publication series

Name	Methods in Statistical Ecology

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10.1007/978-1-4939-0977-3

Ken Newman
- School of Mathematics - Reader
Person: Academic: Research Active (Teaching)

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title = "Modelling population dynamics: Model formulation, fitting and assessment using state-space methods",

author = "Ken Newman and Buckland, {Stephen Terrence} and Byron Morgan and Ruth King and Borchers, {David Louis} and Diana Cole and Panagiotis Besbeas and Olivier Gimenez and Len Thomas",

year = "2014",

doi = "10.1007/978-1-4939-0977-3",

language = "English",

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T1 - Modelling population dynamics: Model formulation, fitting and assessment using state-space methods

AU - Newman, Ken

AU - Buckland, Stephen Terrence

AU - Morgan, Byron

AU - King, Ruth

AU - Borchers, David Louis

AU - Cole, Diana

AU - Besbeas, Panagiotis

AU - Gimenez, Olivier

AU - Thomas, Len

PY - 2014

Y1 - 2014

U2 - 10.1007/978-1-4939-0977-3

DO - 10.1007/978-1-4939-0977-3

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SN - 978-1-4939-0976-6

T3 - Methods in Statistical Ecology

BT - Modelling population dynamics: Model formulation, fitting and assessment using state-space methods

PB - Springer

CY - New York

ER -

Modelling population dynamics: Model formulation, fitting and assessment using state-space methods

Publication series

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Ken Newman

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