Bayesian Introduction to Fish Population Analysis

A Bayesian Introduction to Fish Population Analysis is aimed at advanced undergraduate and graduate students as well as working professionals interested in a hands-on introduction to Bayesian approaches for fitting fisheries models.

List of contents

1.Introduction
2.A Brief Introduction to R and RStudio
3.Probability Distributions
4.Model Fitting
5.Abundance
6.Survival
7.Morality Components
8.Growth
9.Recruitment
10.Integrated Population Models
11.Final Thoughts

About the author

Joseph E. Hightower is a professor emeritus in the Department of Applied Ecology at NC State University. His research interests focus on fish population dynamics, especially field and analytical methods for estimating population parameters. His primary teaching role was a graduate course in quantitative fisheries management, including Bayesian methods that serve as the foundation for this book.

Product details

• Authors: Joseph E. Hightower, Joseph E. (Nc State University Hightower
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 11.08.2025
• EAN: 9781032833552
• ISBN: 978-1-0-3283355-2
• No. of pages: 216
• Series: Chapman & Hall/CRC Applied Environmental Statistics
• Subjects: Natural sciences, medicine, IT, technology > Geosciences > Mineralogy, petrography; MATHEMATICS / Probability & Statistics / General, Biology, life sciences, Probability & statistics, Geochemistry, Probability and statistics, fish;survival analysis;abundance