Read online book Michael E. Ginevan - Chapman and Hall/CRC Applied Environmental Statistics: Statistical Tools for Environmental Quality Measurement PDF, MOBI, EPUB
9781584881575 1584881577 Containing practical examples, this title targets engineers and scientists who must plan studies, collect environmental measurements, and then analyze the resulting data to support decision making. It considers the role of statistical reasoning in solving problems, the origin of environmental measurements, data quality objectives and data quality assessments, and tools for analyzing environmental quality measurements. When a discussion of the maths is necessary, text boxes cover the computation in detail and apply it to an actual data set, giving the reader a complete understanding of the technique., Covers how to solve problems in characterization, monitoring, compliance sampling for environmental regulation, and exposure assessment Emphasizes the sample support - the statistical basis of how measurements are made Stresses the computation of simpler statistical methods using boxes which provide the details of the computation and apply it to an actual data set Includes spatial time series to show the reader how to solve complicated problems involving air pollution Provides complete and practical information on many statistical tools from the very simple to the advanced Full of practical examples, Statistical Tools for Environmental Quality targets engineers and scientists who must plan studies, collect environmental measurements, and then analyze the resulting data to support decision making. It considers the role of statistical reasoning in solving problems, the origin of environmental measurements, data quality objectives and data quality assessments, and tools for analyzing environmental quality measurements. When a discussion of the math is necessary, text boxes will cover the computation in detail and apply it to an actual data set, giving the reader a complete understanding of the technique., When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a detailed reference that points out the subtle differences between statistical procedures, making clear what procedure to use when trying to find the answer to a specific problem.Statistical Tools for Environmental Quality Measurement provides a detailed review of statistical tools used in analyzing and addressing environmental issues. This book examines commonly-used techniques found in USEPA guidelines and discusses their potential impact on decision-making. The authors are not constrained by statistical formalism; they advise when to go outside of standard statistical models when making difficult decisions. The content is presented in a practical style that prioritizes methods that work, based upon the authors' extensive experience.The text points out that simplicity facilitates effective communication of an analysis and decision to a "consumer" of statistics. The book emphasizes the exact question that each procedure addresses, so that environmental scientists and engineers can clearly identify precisely the question they want to ask, and correctly interpret the results.Features
9781584881575 1584881577 Containing practical examples, this title targets engineers and scientists who must plan studies, collect environmental measurements, and then analyze the resulting data to support decision making. It considers the role of statistical reasoning in solving problems, the origin of environmental measurements, data quality objectives and data quality assessments, and tools for analyzing environmental quality measurements. When a discussion of the maths is necessary, text boxes cover the computation in detail and apply it to an actual data set, giving the reader a complete understanding of the technique., Covers how to solve problems in characterization, monitoring, compliance sampling for environmental regulation, and exposure assessment Emphasizes the sample support - the statistical basis of how measurements are made Stresses the computation of simpler statistical methods using boxes which provide the details of the computation and apply it to an actual data set Includes spatial time series to show the reader how to solve complicated problems involving air pollution Provides complete and practical information on many statistical tools from the very simple to the advanced Full of practical examples, Statistical Tools for Environmental Quality targets engineers and scientists who must plan studies, collect environmental measurements, and then analyze the resulting data to support decision making. It considers the role of statistical reasoning in solving problems, the origin of environmental measurements, data quality objectives and data quality assessments, and tools for analyzing environmental quality measurements. When a discussion of the math is necessary, text boxes will cover the computation in detail and apply it to an actual data set, giving the reader a complete understanding of the technique., When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a detailed reference that points out the subtle differences between statistical procedures, making clear what procedure to use when trying to find the answer to a specific problem.Statistical Tools for Environmental Quality Measurement provides a detailed review of statistical tools used in analyzing and addressing environmental issues. This book examines commonly-used techniques found in USEPA guidelines and discusses their potential impact on decision-making. The authors are not constrained by statistical formalism; they advise when to go outside of standard statistical models when making difficult decisions. The content is presented in a practical style that prioritizes methods that work, based upon the authors' extensive experience.The text points out that simplicity facilitates effective communication of an analysis and decision to a "consumer" of statistics. The book emphasizes the exact question that each procedure addresses, so that environmental scientists and engineers can clearly identify precisely the question they want to ask, and correctly interpret the results.Features