Saturday, February 27, 2010

[Q133.Ebook] Ebook Download Modelling and Quantitative Methods in Fisheries, by Malcolm Haddon

Ebook Download Modelling and Quantitative Methods in Fisheries, by Malcolm Haddon

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Modelling and Quantitative Methods in Fisheries, by Malcolm Haddon

Modelling and Quantitative Methods in Fisheries, by Malcolm Haddon



Modelling and Quantitative Methods in Fisheries, by Malcolm Haddon

Ebook Download Modelling and Quantitative Methods in Fisheries, by Malcolm Haddon

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Modelling and Quantitative Methods in Fisheries, by Malcolm Haddon

Quantitative methods and mathematical modelling are of critical importance to fishery science and management but, until now, there has been no book that offers the sharp focus, methodological detail, and practical examples needed by non-specialist fishery scientists and managers, and ecologists. Modelling and Quantitative Methods in Fisheries fills that void.
To date, methodology books in fisheries science have been limited to cookbook approach to problems; simple compilations; or expositions in which either too much theory or insufficient methodological detail is given. The text is organized into three sections: an introduction to modelling in fisheries and ecology, a straight methodology section covering a range of methods, and a section focusing on specific fields in fisheries science. This book is timely as it addresses a topic of recent debate in fisheries and ecology, describing and comparing the uses of Least Squares, Maximum Likelihood, and Bayesian quantitative methods.

Designed as stand-alone units, each chapter provides examples from both classic and recent literature and comes with dedicated Excel spreadsheets that permit you to delve into every detail of the analysis. All of these spreadsheets serve as active examples, which can easily be modified and customized and can be used as templates for analyzing your own data. The spreadsheets permit you to learn at your own speed and cover the simplest linear regression to the more complex non-linear modelling using maximum likelihood.
Data analysis and modelling are best learned by doing and not just by reading. This book illustrates, step by step, the analyses it covers. More detailed in terms of introductory quantitative methods and modelling as applied to fisheries than any other book available, Modelling and Quantitative Methods in Fisheries gives you the advantage by supplying the full details of the analysis so that understanding the material is a matter of following the book.

  • Sales Rank: #2559046 in Books
  • Brand: Brand: Chapman and Hall/CRC
  • Published on: 2001-05-31
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.13" h x .96" w x 6.13" l, 1.35 pounds
  • Binding: Paperback
  • 424 pages
Features
  • Used Book in Good Condition

Review
The book is a good introduction to modeling for students and practitioners. The emphasis is on population models, with chapters on parameter estimation, randomization tests, resampling methods, Monte Carlo methods, Stock-recruitment, and age-structures models. One helpful feature is the use of spreadsheet examples to illustrate the methods.
-Fisheries, 2002

About the Author

Malcolm Haddon is a senior fisheries modeller for CSIRO in Hobart, Tasmania, Australia. Prior to joining CSIRO, Dr. Haddon was an associate professor at the University of Tasmania, head of fisheries at Australian Maritime College, a senior research fellow at the University of Sydney, editor of the New Zealand Journal of Marine and Freshwater Research, and a lecturer at Victoria University of Wellington. He has conducted stock assessments on Tasmanian rock lobster, giant crab, and abalone. Now at CSIRO, he continues to produce stock assessments of abalone but also for an array of Australian Commonwealth fisheries.

Most helpful customer reviews

5 of 5 people found the following review helpful.
A primer for all of us
By Pierre Richard
In my opinion, Malcolm Haddon has managed a "tour de force" with this book. He not only covered most of the modern methods of quantitative analysis and modelling in fisheries science but he did so in a clear and relatively simple language. His book is approachable to all biologists with a basic understanding of mathematics and statistics. Yet, he managed to cover both the theoretical underpinnings of the methods and the practical aspects of their use (options, pitfalls ... etc.). In addition, the book gives MS Excel examples of the methods which should allow those of us who are not programmers to fully appreciate the methods by using them interactively. The Excel spreadsheets are also available for download on two web sites.

3 of 3 people found the following review helpful.
The best DIY book for fisheries modelling & quantitative methods
By Eny B.
This book is successful in teaching and guiding the readers (especially the novice) on how to understand the often confusing concepts of modelling and quantitative methods in fisheries; not to mention the daunting math works. Other books written by great authors may be great in underlying theory and what not; but this book is the BEST in providing clear and focused step-by-step guide, even for the most complex theory. Malcolm Haddon had made modelling and quantitative methods in fisheries very easy. The math works can be followed easily and he gave enough leads between equations. The compilation of the math works in the appendices also really helps. The language used throughout the book is also very simple and to the point for non-native English speaker. The accompanying Excel spreadsheets are essential for readers to practice using simple examples. Four thumbs up for this book! :-)

0 of 0 people found the following review helpful.
Possibly the best practical fisheries text I have on my bookshelf
By K Rachels
Possibly the best practical fisheries text I have on my bookshelf. Provides methods that are relevant to all fisheries biologists and examples that are easily worked in Microsoft Excel. Graduate students and practicing biologists won't be disappointed with this purchase.

See all 7 customer reviews...

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