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Interactive Governance for Small-Scale Fisheries
Drawing on more than 30 case studies from around the world, this book offers a multitude of examples for improving the governance of small-scale fisheries. Contributors from some 36 countries argue that reform, transformation and innovation are vital to achieving sustainable small-scale fisheries - especially for mitigating the threats and vulnerabilities of global change. For this to happen, governing systems must be context-specific and the governability of small-scale fisheries properly assessed. The volume corresponds well with the Voluntary Guidelines for Securing Sustainable Small-Scale Fisheries adopted in 2014, spearheaded by the United Nations Food and Agriculture Organization (FAO)...
Groupers of the World
This is the sixteenth issue in the FAO series of worldwide annotated and illustrated catalogues of major groups of organisms that enter marine fisheries. It contains the 159 species in 15 genera known from the serranid subfamily Epinephelinae, including one species new to science. There is an introductory section with general remarks on habitat and fisheries of the family, a glossary of technical terms, an illustrated key to each genus and all species, and a detailed account for all species. Species accounts include an illustration of each species, scientific and vernacular names, and information on habitat, biology, fisheries, size, relevant literature, and distribution.
Data Analysis and Approximate Models
The First Detailed Account of Statistical Analysis That Treats Models as ApproximationsThe idea of truth plays a role in both Bayesian and frequentist statistics. The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true. Frequentist statistics is formulated as the problem of estimating
Statistical Inference
In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is literally huge. Filling a statistical resource gap, Stati
Statistical Methods for Stochastic Differential Equations
The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible to both new students and seasoned researchers, each self-contained chapter starts with introductions to the topic at hand and builds gradually towards discussing recent research. The book covers Wiener-driven equations as well as stochastic differential equations with jumps, including continuous-time ARMA processes and COGARCH processes. It presents a spectrum of estimation methods, including nonparametric estimation as well as parametric estimation ba...
Analysis of Variance for Functional Data
Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of functional observations, functional ANOVA, functional l
