Language : English
Published : 2018-07-31
Pages : 400
Polar Environments and Global Change
The polar regions are the ‘canary in the coal mine’ of climate change: they are likely to be hit the hardest and fastest. This comprehensive textbook provides an accessible introduction to the scientific study of polar environments against a backdrop of climate change and the wider global environment. The book assembles diverse information on polar environmental characteristics in terrestrial and oceanic domains, and describes the ongoing changes in climate, the oceans, and components of the cryosphere. Recent significant changes in the polar region caused by global warming are explored: shrinking Arctic sea ice, thawing permafrost, accelerating loss of mass from glaciers and ice sheets, and rising ocean temperatures. These rapidly changing conditions are discussed in the context of the paleoclimatic history of the polar regions from the Eocene to the Anthropocene. Future projections for these regions during the twenty-first century are discussed. The text is illustrated with many color figures and tables, and includes further reading lists, review questions for each chapter, and a glossary.
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Thoroughly updated for currency and with exciting new practical examples throughout, this popular text provides the tools, practice, and basic knowledge for success in the biotech workforce. With its balanced coverage of basic cell and molecular biology, fundamental techniques, historical accounts, new advances, and hands-on applications, the Third Edition emphasizes the future of biotechnology and the biotechnology student’s role in that future. Two new features-Forecasting the Future, and Making a Difference-along with several returning hallmark features, support the new focus.
Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures.
- Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares.
- Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research.
- Is illustrated throughout with simple examples to clarify the statistical methodology.
- Explains Bayes’ theorem pictorially.
- Features exercises, with answers to alternate questions, enabling use as a course text.
Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.
- Population dynamics and control
- Air, water, and noise pollution, and other environmental issues
- Program planning, budgeting, management, and evaluation
- Systems thinking and leadership in community and public health
Students will gain insight into the descriptive, inferential, and analytical aspects of community and public health, as well as models, methods, and theories in health education and health promotion. Introduction to Community and Public Health provides the foundation necessary to build the skills of tomorrow’s community and public health leaders.
An original account of willful ignorance and how this principle relates to modern probability and statistical methods
Through a series of colorful stories about great thinkers and the problems they chose to solve, the author traces the historical evolution of probability and explains how statistical methods have helped to propel scientific research. However, the past success of statistics has depended on vast, deliberate simplifications amounting to willful ignorance, and this very success now threatens future advances in medicine, the social sciences, and other fields. Limitations of existing methods result in frequent reversals of scientific findings and recommendations, to the consternation of both scientists and the lay public.
Willful Ignorance: The Mismeasure of Uncertainty exposes the fallacy of regarding probability as the full measure of our uncertainty. The book explains how statistical methodology, though enormously productive and influential over the past century, is approaching a crisis. The deep and troubling divide between qualitative and quantitative modes of research, and between research and practice, are reflections of this underlying problem. The author outlines a path toward the re-engineering of data analysis to help close these gaps and accelerate scientific discovery.
Willful Ignorance: The Mismeasure of Uncertainty presents essential information and novel ideas that should be of interest to anyone concerned about the future of scientific research. The book is especially pertinent for professionals in statistics and related fields, including practicing and research clinicians, biomedical and social science researchers, business leaders, and policy-makers.