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Numerical Methods in Environmental Data Analysis

Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer;

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Environmental Data Analysis

Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern;

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Methods of Environmental Data Analysis

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Spatial Data Analysis in the Social and Environmental Sciences

Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis;

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Environmental Chemometrics

, and data interpretation of complex environmental systems. Delineating the rigors of modern environmental analysis and how to effectively solve;

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Environmental Chemometrics

, and data interpretation of complex environmental systems. Delineating the rigors of modern environmental analysis and how to effectively solve;

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Data Analysis for Omic Sciences: Methods and Applications

Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed;

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Statistical Methods for Fuzzy Data

this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results;

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Statistics for Environmental Biology and Toxicology

Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis;

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Analysis Biomarker Data Practical Guide

A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods;

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Data Analysis In Community And Landscape

relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis;

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Statistical Data Analysis Based on the L1-Norm and Related Methods

This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on;

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Statistics for Environmental Science and Management

, and students. It also describes topics and techniques such as environmental monitoring, impact assessment, censored data, Monte Carlo risk;

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Machine Learning Methods in the Environmental Sciences

circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and;

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Machine Learning Methods in the Environmental Sciences

circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and;

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Introduction to Ecological Sampling

An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis Including only the necessary mathematical derivations;

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Statistics for Earth and Environmental Scientists

environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques;

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Statistical Data Analysis Explained

. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the;

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Environmental Modelling with GIS and Remote Sensing

capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS;

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Statistical Analysis for Environmental Data with R

For environmental data classical statistical analysis are often not useful which makes it necessary to find new methods to solve the;

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Extraction Techniques In Analytical Sciences

Increasing environmental regulations have resulted in the need for new methods of analysis for environmental samples. As an updated version;

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Handbook of Environmental and Ecological Statistics

of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including;

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Handbook of Environmental and Ecological Statistics

of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including;

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Quantitative Analysis and Modeling of Earth and Environmental Data

Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion;

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Environmental Modelling with GIS and Remote Sensing

capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS;

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Spatial Analysis with R

exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences;

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Data Analysis and Statistics for Geography, Environmental Science, and Engineering

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental;

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