Comment on “Working with population totals in the presence of missing data comparing imputation methods in terms of bias and precision” by Onkelinx et al. (2016)-Reference-Cited by-同舟云学术

Comment on “Working with population totals in the presence of missing data comparing imputation methods in terms of bias and precision” by Onkelinx et al. (2016)

Published:2017-05-04 Issue:3 Volume:158 Page:887-889
ISSN:2193-7192
Container-title:Journal of Ornithology
language:en
Short-container-title:J Ornithol

Author:

Bogaart Patrick^ORCID,van der Meij Tom,Pannekoek Jeroen,Soldaat Leo,van Strien Arco,Underhill Les

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/article/10.1007/s10336-017-1456-5/fulltext.html

Reference5 articles.

1. Onkelinx T, Devos K, Quataert P (2016) Working with population totals in the presence of missing data comparing imputation methods in terms of bias and precision. J Ornithol. doi: 10.1007/s10336-016-1404-9

2. Pannekoek J, van Strien A (2005) TRIM 3 Manual (TRends and indices for monitoring data). Statistics Netherlands. https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends–trim –. Accessed 12 December 2016

3. Underhill LG, Prŷs-Jones RP (1994) Index numbers for waterbird populations. I. Review and methodology. J Appl Ecol 31:463–480. doi: 10.2307/2404443

4. van der Meij T (2013) BirdSTATs; species trends analysis tool (STAT) for European bird data. http://www.ebcc.info/index.php?ID=608 . Accessed 12 December 2016

5. Ver Hoef JM, Boveng PL (2007) Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data. Ecology 88:2766–2772. doi: 10.1890/07-0043.1

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3. Reply to the comment on ‘Working with population totals in the presence of missing data comparing imputation methods in terms of bias and precision’ by Bogaart et al.;Journal of Ornithology;2017-04-29