Buch, Englisch, 352 Seiten, Format (B × H): 155 mm x 234 mm, Gewicht: 476 g
Buch, Englisch, 352 Seiten, Format (B × H): 155 mm x 234 mm, Gewicht: 476 g
Reihe: Chapman & Hall/CRC The R Series
ISBN: 978-0-367-46988-7
Verlag: CRC Press
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.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Naturwissenschaften Agrarwissenschaften Tierhaltung Fischerei, Fischzucht, Aquakultur
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Naturwissenschaften Biowissenschaften Tierkunde / Zoologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
Weitere Infos & Material
1. On Modelling
2. A Non-Introduction to R
3. Simple Population Models
4. Model parameter Estimation
5. Static Models
6. On Uncertainty
7. Surplus Production Models