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Sample surveys play a vital role in modern society in allowing us to collect and process data about particular groups. Sample Survey: Principles and Methods aims to provide a digestible but comprehensive coverage of survey sampling to meet the needs of students, statisticians and other practitioners. This third edition has evolved to reflect the new demands for wider areas of application, and to keep up-to-date with developing methods of carrying out surveys, such as via email and the internet. New chapters introduce modern approaches to sampling methods for rare and sensitive events and for natural phenomena, with particular reference to contemporary biological, environmental and social issues. Wide-ranging topical examples on all topics are given throughout the text. Practical exercises are presented at chapter ends, and numerical answers are provided in all cases. As well as new chapters covering a wider range of fields in which sample surveys can be used, new features in this new edition include chapter summaries and an expanded bibliography and reference section.
From its initial publication this book has been the standard text on the subject. Since then there has been a continuing high level of activity, and work has developed in all major areas. This third edition reflects the latest state of knowledge with fully revised and extended coverage of all topics. Additional topics and new emphases are presented and a richer coverage of practical fields and computer-based facilities, together with a fully updated reference list, are provided.
It is increasingly clear that good quantitative work in the environmental sciences must be genuinely interdisciplinary. This volume, the proceedings of the first combined TIES/SPRUCE conference held at the University of Sheffield in September 2000, well demonstrates the truth of this assertion, highlighting the successful use of both statistics and mathematics in important practical problems.It brings together distinguished scientists and engineers to present the most up-to-date and practical methods for quantitative measurement and prediction and is organised around four themes:- spatial and temporal models and methods;- environmental sampling and standards;- atmosphere and ocean;- risk and uncertainty.Quantitative Methods for Current Environmental Issues is an invaluable resource for statisticians, applied mathematicians and researchers working on environmental problems, and for those in government agencies and research institutes involved in the analysis of environmental issues.
In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to monitor what is happening in the environment - collecting data to describe the changing scene. More importantly, it is crucial to formally describe the environment with sound and validated models, and to analyse and interpret the data we obtain in order to take action.
"Environmental Statistics" provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. It serves as both a textbook for students of environmental statistics, as well as a comprehensive source of reference for anyone working in statistical investigation of environmental issues. Provides broad coverage of the methodology used in the statistical investigation of environmental issues. Covers a wide range of key topics, including sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards. Includes many detailed practical and worked examples that illustrate the applications of statistical methods in environmental issues. Authored by a leading authority on environmental statistics.
In line with the SPRUCE initiative, concerned as it is with Statistics in Public Resources, Utilities and Care of the Environment, the recent conference brought together leading workers from a widely multidisciplinary background. The SPRUCE IV programme was divided into five thematic sections:
Much has happened in the field of inference and decision making during the past decade or so. This fully updated and revised third edition of Comparative Statistical Inference presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision making. As in earlier editions, the material is set in a historical context to more powerfully illustrate the ideas and concepts.
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