Spatiotemporal modeling of mature‐at‐length data using a sliding window approach-Reference-Cited by-同舟云学术

Spatiotemporal modeling of mature‐at‐length data using a sliding window approach

Published:2022-09-14 Issue:2 Volume:34 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Yan Yuan¹^ORCID,Cantoni Eva²,Field Chris¹,Treble Margaret³,Mills Flemming Joanna¹^ORCID

Affiliation:

1. Department of Mathematics & Statistics Dalhousie University Halifax Nova Scotia Canada

2. Research Center for Statistics and Geneva School of Economics and Management University of Geneva Geneva Switzerland

3. Fisheries and Oceans Canada Winnipeg Manitoba Canada

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2759

Reference36 articles.

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2. Biddlecombe B. A. &Watt C. A.(2021).Estimated population abundance and probability of population decline for Northern Hudson Bay narwhal (Monodon monoceros). DFO Canadian Science Advisory Secretariat Research Document. in press.

3. Evaluating Derivatives

4. Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping

5. Harris L. Treble M. A. &Morgan M. J.(2009).An update of maturity in data for Greenland halibut from trawl surveys of NAFO subarea 0 with emphasis on Division 0A. NAFO SCR Doc. 09/025. Serial No. N5660 12 p.

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