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Year of publication
Subject
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observation error 2 Bayesian estimate 1 Bayesian inference 1 Cervus nippon 1 Generalized linear mixed model 1 Observation error 1 Population dynamics 1 State-space model 1 detectability 1 excess zeros 1 false negative 1 local Whittle model 1 long-term memory 1 mixture model 1 realized volatility 1 sampling error 1 semi-parametric 1 zero-inflated Poisson 1 zero-inflated binomial 1 zero-inflation 1
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Online availability
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Free 3
Type of publication
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Article 2 Book / Working Paper 1
Language
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Undetermined 2 English 1
Author
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Field, Scott A. 1 Hirakawa, H. 1 Kaji, K. 1 Kuhnert, Petra M. 1 Kurumada, T. 1 Low-Choy, Samantha J. 1 Martin, Tara G. 1 Matsuda, H. 1 Possingham, Hugh P. 1 Rhodes, Jonathan R. 1 Saitoh, T. 1 Tamada, K. 1 Tyre, Andrew J. 1 Uno, H. 1 Wintle, Brendan A. 1 Yamaguchi, Keiko 1 Yamamura, K. 1 Yokomizo, H. 1
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Institution
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Institute of Economic Research, Hitotsubashi University 1
Published in...
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Hi-Stat Discussion Paper Series 1
Source
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BASE 2 RePEc 1
Showing 1 - 3 of 3
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Harvest-based Bayesian estimation of sika deer populations using state-space models
Yamamura, K.; Matsuda, H.; Yokomizo, H.; Kaji, K.; Uno, H. - 2008
We have estimated the number of sika deer, Cervus nippon, in Hokkaido, Japan, with the aim of developing a management program that will reduce the level of agricultural damage caused by these deer. A population index that is defined by the population divided by the population of 1993 is first...
Persistent link: https://www.econbiz.de/10009448536
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Testing for the presence of noise in long memory processes [in Japanese]
Yamaguchi, Keiko - Institute of Economic Research, Hitotsubashi University - 2008
In this paper, we propose a new test for the presence of noise in the long-memory signal plus white noise model. A similar test was proposed by Sun-Phillips(2003), so we conduct simulation experiments to examine and compare the finite sample properties of these two tests. It is well-known that...
Persistent link: https://www.econbiz.de/10005650657
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Zero Tolerance Ecology: Improving Ecological Inference By Modelling the Source of Zero Observations
Martin, Tara G.; Wintle, Brendan A.; Rhodes, Jonathan R.; … - 2005
A common feature of ecological datasets is their tendency to contain many zero values. Statistical inference based on such data is likely to be inefficient or wrong unless careful thought is given to how these zeros arose and how best to model them. In this paper, we propose a framework for...
Persistent link: https://www.econbiz.de/10009447984
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