Modelling and Quantitative Methods in Fisheries
| Collection Location | Balai Riset Perikanan Laut Jakarta |
| Edition | Second Edition |
| Call Number | 133.521:639.2 HAD m |
| ISBN/ISSN | 978-1-4398-9417-0 |
| Author(s) | Haddon, Malcolm |
| Subject(s) | Quantitative Methods - Fisheries fisheries modelling |
| Classification | 133.521:639.2 HAD m |
| Series Title | GMD | Text |
| Language | English |
| Publisher | CRC Press |
| Publishing Year | 2011 |
| Publishing Place | London |
| Collation | xv, 435p.; ill.; tab.; 28 cm |
| Abstract/Notes | This book is intended as an introduction to some of the analytical methods used by fsheries scientists and ecologists. However, keeping it an introductory text that is accessible to the majority is something of a challenge when covering some of the more important though intrinsically complex methods. In this second edition, I have tried to keep the book an introductory text, and so much of the material remains close to the original. While I have revised and tidied all chapters, improving a number of the examples used, the main additions to this new edition are the two chapters on characterizing uncertainty (Chapter 8) and on size-based models (Chapter 13). Keeping such material introductory was certainly a challenge; however, I have not shied away from discussing relatively complex ideas. Hopefully, I have done so in a manner that assists people to reach an understanding of the material. Both new chapters made me question whether I should continue to use Excel for the example boxes. For example, in Chapter 8, on characterizing uncertainty, a generalized Gibbs sampler is developed for conducting Markov chain Monte Carlo (MCMC) analyses. I would never seriously suggest using Excel to conduct an MCMC, but it continues to be a useful teaching tool, and my hope is that by following the examples and seeing the nuts and bolts of how they work, the underlying principles will become clear; Excel remains excellent for such a task. |
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