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Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. T...
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 s...
With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries' scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workb
With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries’ scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workbooks are available for download from CRC Press website. In this second edition, the author has revised all chapters and improved a number of the examples. This edition also includes two entirely new chapters: Characterization of Uncertainty covers asymptotic errors and likelihood profiles and develops a generalized Gibbs sampler to run a Markov c...
In terms of public opinion, new religious movements are considered controversial for a variety of reasons. Their social organization often runs counter to popular expectations by experimenting with communal living, alternative leadership roles, unusual economic dispositions, and new political and ethical values. As a result the general public views new religions with a mixture of curiosity, amusement, and anxiety, sustained by lavish media emphasis on oddness and tragedy rather than familiarity and lived experience. This updated and revised second edition of Controversial New Religions offers a scholarly, dispassionate look at those groups that have generated the most attention, including so...
Focuses on the assumptions underlying the algorithms rather than their statistical properties Presents cutting-edge analysis of factor models and finite mixture models. Uses a hands-on approach to examine the assumptions made by the models and when the models fail to estimate accurately Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems Introduces R programming concepts throughout the book. Includes appendices that discuss many of the concepts introduced in the book, as well as measures of uncertainty in microeconometrics.
In 2007 th eAustralian government declared that remote Aboriginal communities were in crisis and launched the Northern Territory Intervention. This dramatic move occurred against a backdrip of vigorous debate among policy makers, academics, commentators and Aboriginal people about the apparent failure of self-determination. -- back cover.
Offering a dialogue between anthropology and literature, culture, and media, this book presents fine-grained ethnographic vignettes of monsters dwelling in the contemporary world. These monsters hail from Aboriginal Australia, the Pacific, Asia, and Europe, and their presence is inextricably intertwined with the lives of those they haunt.
The Lure of Hope portrays a snap shot of the rise and fall of commercial surrogacy in India. By chance, the author’s fieldwork began around the same time NSW legislation in Australia extended its ban on commercial surrogacy to include overseas arrangements. Not long after returning from fieldwork in India, the Home Ministry of India changed the conditions of entry for intending parents (IPs) traveling to India for a surrogacy arrangement. From November 2013 IPs would have to apply for a medical visa, and could only obtain a medical visa for surrogacy if they had been married for at least two years. In 2016 the Indian Surrogacy (regulation) Act was introduced, commercial surrogacy was banne...
Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other do...