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Using R for Modelling and Quantitative Methods in Fisheries (Paperback)
Loot Price: R2,032
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Using R for Modelling and Quantitative Methods in Fisheries (Paperback)
Series: Chapman & Hall/CRC The R Series
Expected to ship within 12 - 17 working days
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Using R for Modelling and Quantitative Methods in Fisheries has
evolved and been adapted from an earlier book by the same author
and provides a detailed introduction to analytical methods commonly
used by fishery scientists, ecologists, and advanced students using
the open-source software R as a programming tool. Some knowledge of
R is assumed, as this is a book about using R, but an introduction
to the development and working of functions, and how one can
explore the contents of R functions and packages, is provided. The
example analyses proceed step-by-step using code listed in the book
and from the book's companion R package, MQMF, available from
GitHub and the standard archive, CRAN. The examples are designed to
be simple to modify so the reader can quickly adapt the methods
described to use with their own data. A primary aim of the book is
to be a useful resource to natural resource practitioners and
students. Featured Chapters: Model Parameter Estimation provides a
detailed explanation of the requirements and steps involved in
fitting models to data, using R and, mainly, maximum likelihood
methods. On Uncertainty uses R to implement bootstrapping,
likelihood profiles, asymptotic errors, and Bayesian posteriors to
characterize any uncertainty in an analysis. The use of the Monte
Carlo Markov Chain methodology is examined in some detail. Surplus
Production Models applies all the methods examined in the earlier
parts of the book to conducting a stock assessment. This included
fitting alternative models to the available data, characterizing
the uncertainty in different ways, and projecting the optimum
models forward in time as the basis for providing useful management
advice.
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