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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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Introduction to Environmental Data Analysis and Modeling

This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution;

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Introduction to Environmental Data Analysis and Modeling

This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution;

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Interfacial Phenomena In Chromatography

Interfacial Phenomena in Chromatography presents a combination of chromatographic theory, numerical simulation and experimental data. The;

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Applications of Numerical Methods in Molecular Spectroscopy

of spectral data processing methods. The book discusses methods of complex spectral profile separation into bands, factor analysis methods, methods;

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Numerical Ecology

The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and;

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Interfacial Phenomena In Chromatography

Interfacial Phenomena in Chromatography presents a combination of chromatographic theory, numerical simulation and experimental data. The;

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Survival Analysis

A concise summary of the statistical methods used in the analysis of survival data with censoring. Emphasizes recently developed;

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Numerical Simulations in the Environmental and Earth Sciences

Increases in computer power and technology have rapidly advanced the applications of numerical modelling in environmental and earth;

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Numerical Simulations in the Environmental and Earth Sciences

Increases in computer power and technology have rapidly advanced the applications of numerical modelling in environmental and earth;

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Numerical Computer Methods, Part D

The aim of Numerical Computer Methods, Part D is to brief researchers of the importance of data analysis in enzymology, and of the modern;

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Using R for Numerical Analysis in Science and Engineering

, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the;

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Atmospheric Modeling, Data Assimilation and Predictability

modeling, but also the important related areas of data assimilation and predictability. It incorporates all aspects of environmental computer;

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Stochastic Dynamics of Marine Structures

stochastic modelling and analysis of marine structures subjected to environmental loads. The first part of the book provides a detailed introduction;

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The Koopman Operator in Systems and Control

numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification; data-driven techniques;

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The Koopman Operator in Systems and Control

numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification; data-driven techniques;

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Basic Environmental Data Analysis for Scientists and Engineers

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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Introduction to Environmental Data Analysis for Scientists and Engineers

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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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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Maths in Chemistry

statistical tests used in Analytical Chemistry for data analysis. The author has tried to include as many example from Chemistry problems for a better;

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Methods of Environmental Data Analysis

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Health, Safety, and Environmental Data Analysis

are a EHS professional, manager, or student, Health, Safety, and Environmental Data Analysis: A Business Approach will help you communicate;

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Essential Computational Modeling for the Human Body

researchers to chose and experiment with; Numerical analysis and open problems useful for experimentation; Computational Models useful for surgery;

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