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Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion;
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additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an;
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A COMPREHENSIVE TEXTBOOK AND REFERENCE FOR QUANTITATIVE ENVIRONMENTAL RISK ANALYSIS FOR BOTH CHEMICAL AND RADIOACTIVE CONTAMINANTS;
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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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is informed by the environmental context; algorithms for modeling and simulation, downscaling, model reduction, data assimilation, uncertainty;
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industry professionals in the Earth and environmental sciences, who use applied statistics and decision analysis techniques, and particularly to;
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, and longitudinal data analysis. These methods will appeal, in particular, to researchers in the social sciences. The 79th annual meeting took;
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This edited volume focuses on the latest and most impactful advancements of multimedia data globally available for environmental and earth;
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This edited volume focuses on the latest and most impactful advancements of multimedia data globally available for environmental and earth;
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innovative techniques for the collection and analyses of data focusing on aging and lifespan development. The book addresses such techniques as;
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innovative techniques for the collection and analyses of data focusing on aging and lifespan development. The book addresses such techniques as;
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An Introduction to Models and Modeling in the Earth and Environmental Sciences offers students and professionals the opportunity to learn;
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analytics, mathematical modeling, and risk analysis to better quantify human health risks caused by environmental and occupational exposures to air;
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analytics, mathematical modeling, and risk analysis to better quantify human health risks caused by environmental and occupational exposures to air;
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Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new;
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academics who teach quantitative approaches in language assessment and data analysis courses.;
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academics who teach quantitative approaches in language assessment and data analysis courses.;
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modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis, among others. The papers in this;
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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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software and the data available for analysis outstrip the abilities of managers and analysts to use and analyze the information. This is especially;
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extensive and growing community of Earth scientists and engineers. Basic Environmental Data Analysis for Scientists and Engineers introduces;
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extensive and growing community of Earth scientists and engineers. Basic Environmental Data Analysis for Scientists and Engineers introduces;
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modeling and data handling. The book follows a logical sequence from the basic steps of model building and data analysis to implementing these;
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modeling and data handling. The book follows a logical sequence from the basic steps of model building and data analysis to implementing these;
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This textbook describes some of the most effective and straightforward quantitative techniques for modeling Earth surface processes. By;
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relate to structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis, among;
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Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS;
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