Skip to content

Research at St Andrews

Statistical Modelling of Seabird and Cetacean data: Guidance Document: University of St. Andrews contract for Marine Scotland; SB9 (CR/2012/05).

Research output: Book/ReportCommissioned report

Details

Original languageEnglish
PublisherUniversity of St Andrews
StatePublished - 2013

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Quantifying the Power to Detect Change: methodological development and implementation using the R package MRSeaPower.

    MacKenzie, M. L., Scott-Hayward, L. A. S., Paxton, C. G. M. & Burt, M. L. 27 Oct 2017 Quantifying the Power to Detect Change: methodological development and implementation using the R package MRSeaPower.. http://www.gov.scot/Topics/marine/marineenergy/Research/SB9/MRSeamethod: The Scottish Government, p. 1 139 p. CREEM-13804-2016-1. Provided to the Scottish Government and Marine Scotland Science (USA/012/15

    Research output: Chapter in Book/Report/Conference proceedingOther contribution

  2. Using hierarchical centering to facilitate a reversible jump MCMC algorithm for random effects models

    Oedekoven, C. S., King , R., Buckland, S. T., MacKenzie, M. L., Evans, K. O. & Burger Jr., L. W. Jun 2016 In : Computational Statistics and Data Analysis. 98, p. 79-90

    Research output: Contribution to journalArticle

  3. Distance sampling: methods and applications

    Buckland, S. T., Rexstad, E., Marques, T. A. & Oedekoven, C. S. 2015 Cham: Springer. 292 p. (Methods in statistical ecology)

    Research output: Book/ReportBook

ID: 246493116