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graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the;
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graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the;
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Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern;
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approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data;
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Extreme environmental events, such as floods, droughts, rainstorms and high winds, have severe consequences for human society. Regional;
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Extreme environmental events, such as floods, droughts, rainstorms and high winds, have severe consequences for human society. Regional;
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Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs;
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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;
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MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction;
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An introduction for postgraduate and undergraduate students to the chemical and physical principles of flame and combustion phenomena. This;
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An introduction for postgraduate and undergraduate students to the chemical and physical principles of flame and combustion phenomena. This;
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Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;
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science and engineering students answer these questions when the goal is to understand and design systems for environmental protection. The second;
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When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By;
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that conclusions are clear and unambiguous. The text is a graphical introduction to the subject, which allows for ease of interpretation;
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This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact;
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This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact;
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, and students. It also describes topics and techniques such as environmental monitoring, impact assessment, censored data, Monte Carlo risk;
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This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples;
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This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples;
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variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. It presents;
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This book addresses the fields of biodegradation, environmental degradation, and photochemical degradation. The purpose of the book is to;
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Transport Modeling for Environmental Engineers and Scientists, Second Edition, builds on integrated transport courses in chemical;
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Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and;
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of complex systems. Handbook of Material Flow Analysis: For Environmental, Resource, and Waste Engineers, Second Edition serves as a concise and;
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Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer;
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Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for;
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