Kirjahaku

Explore sample survey principles and methods with real-world examples Sample survey concepts and methodologies have evolved as the demand for wider application continues to grow. Sample Survey Principles and Methods, now in its third edition, continues to stress the relevance of sampling methods as they pertain to biological and social fields, and also expands to cover environmental, financial, and medical investigations. Offering a comprehensive overview of the topic, the text is broken down into four sections that build upon one another to offer a complete exploration of the subject matter.

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.

This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making. Much has happened in this field since the second edition was published: for example, Bayesian inferential procedures have not only gained acceptance but are often the preferred methodology. This book will be welcomed by both the student and practising statistician wishing to study at a fairly elementary level, the basic conceptual and interpretative distinctions between the different approaches, how they interrelate, what assumptions they are based on, and the practical implications of such distinctions. As in earlier editions, the material is set in a historical context to more powerfully illustrate the ideas and concepts. Includes fully updated and revised material from the successful second editionRecent changes in emphasis, principle and methodology are carefully explained and evaluatedDiscusses all recent major developmentsParticular attention is given to the nature and importance of basic concepts (probability, utility, likelihood etc)Includes extensive references and bibliography Written by a well-known and respected author, the essence of this successful book remains unchanged providing the reader with a thorough explanation of the many approaches to inference and decision making.