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Using R for Modelling and Quantitative Methods in Fisheries
Engelsk
Bogcover for Using R for Modelling and Quantitative Methods in Fisheries af Malcolm Haddon, 9780367469887
Specifikationer
Sprog:
Engelsk
Sider:
352
ISBN-13:
9780367469887
Indbinding:
Paperback
ISBN-10:
036746988X
Udg. Dato:
25 sep 2020
Størrelse i cm:
15,6 x 23,4 x 2,3
Oplagsdato:
25 sep 2020
Forfatter(e):

Using R for Modelling and Quantitative Methods in Fisheries

Engelsk
Paperback 2020
Format:

Bog beskrivelse

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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Specifikationer
Sprog:
Engelsk
Sider:
352
ISBN-13:
9780367469887
Indbinding:
Paperback
ISBN-10:
036746988X
Udg. Dato:
25 sep 2020
Størrelse i cm:
15,6 x 23,4 x 2,3
Oplagsdato:
25 sep 2020
Forfatter(e):
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