This book, "Modelling and Quantitative Methods in Fisheries" by Malcolm Haddon, provides an in-depth exploration of fisheries modeling and quantitative methods used in fisheries science. The second edition includes updates and additional insights into the subject. The book is structured into 13 chapters, each covering various aspects of fisheries modeling, including population dynamics, stock assessment, model types, parameter estimation, and uncertainty characterization. The first chapter introduces the fundamentals of fisheries modeling, discussing the objectives of stock assessment, the characteristics of mathematical models, and the different types of model structures. The second chapter focuses on simple population models, including density-independent and density-dependent growth models, as well as age-structured models and yield-per-recruit analysis. The third chapter covers model parameter estimation, discussing methods such as least squares residuals, nonlinear estimation, likelihood, and Bayesian methods. The fourth chapter explores computer-intensive methods, including resampling, randomization tests, jackknife methods, bootstrapping, and Monte Carlo methods. The fifth chapter delves into randomization tests, while the sixth chapter discusses statistical bootstrap methods. The seventh chapter covers Monte Carlo modeling, and the eighth chapter focuses on the characterization of uncertainty. The ninth chapter discusses the growth of individuals, including the von Bertalanffy growth model and alternative models. The tenth chapter examines stock recruitment relationships, including the Beverton-Holt and Ricker models. The eleventh chapter explores surplus production models, including equilibrium methods and risk assessment projections. The twelfth chapter discusses age-structured models, including cohort analysis and statistical catch-at-age models. The thirteenth chapter covers size-based models. The book also includes appendices that provide derivations of key equations and formulas, as well as a section on the use of Excel in fisheries science. The bibliography and index are also included. Overall, the book serves as a comprehensive resource for fisheries scientists and managers seeking to understand and apply quantitative methods in fisheries modeling.This book, "Modelling and Quantitative Methods in Fisheries" by Malcolm Haddon, provides an in-depth exploration of fisheries modeling and quantitative methods used in fisheries science. The second edition includes updates and additional insights into the subject. The book is structured into 13 chapters, each covering various aspects of fisheries modeling, including population dynamics, stock assessment, model types, parameter estimation, and uncertainty characterization. The first chapter introduces the fundamentals of fisheries modeling, discussing the objectives of stock assessment, the characteristics of mathematical models, and the different types of model structures. The second chapter focuses on simple population models, including density-independent and density-dependent growth models, as well as age-structured models and yield-per-recruit analysis. The third chapter covers model parameter estimation, discussing methods such as least squares residuals, nonlinear estimation, likelihood, and Bayesian methods. The fourth chapter explores computer-intensive methods, including resampling, randomization tests, jackknife methods, bootstrapping, and Monte Carlo methods. The fifth chapter delves into randomization tests, while the sixth chapter discusses statistical bootstrap methods. The seventh chapter covers Monte Carlo modeling, and the eighth chapter focuses on the characterization of uncertainty. The ninth chapter discusses the growth of individuals, including the von Bertalanffy growth model and alternative models. The tenth chapter examines stock recruitment relationships, including the Beverton-Holt and Ricker models. The eleventh chapter explores surplus production models, including equilibrium methods and risk assessment projections. The twelfth chapter discusses age-structured models, including cohort analysis and statistical catch-at-age models. The thirteenth chapter covers size-based models. The book also includes appendices that provide derivations of key equations and formulas, as well as a section on the use of Excel in fisheries science. The bibliography and index are also included. Overall, the book serves as a comprehensive resource for fisheries scientists and managers seeking to understand and apply quantitative methods in fisheries modeling.