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Computational Approach To Statistical Arguments In Ecology A

probabilistic mechanism that can generate data sets similar in structure to the one observed. A wide range of natural examples drawn from ecology;

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Encyclopedia Of Theoretical Ecology

provide an introduction to broad fields such as Applied Ecology, Behavioral Ecology, Computational Ecology, Ecosystem Ecology, Epidemiology and;

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Computational Statistics

Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional;

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Computational Statistics

Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional;

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Computational Biology

Ground Computational Biology: A Statistical Mechanics Perspective is the first book dedicated to the interface between statistical physics and;

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Quantitative Ecology and Evolutionary Biology

mathematical models and statistical methods, and ends with a discussion of the benefits and limitations of each approach. The concepts and techniques;

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Statistical Computing with R

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve;

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Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R

, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape;

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Introduction to R for Terrestrial Ecology

, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape;

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Statistical Turbulence Modelling For Fluid Dynamics - Demystified: An Introductory Text For Graduate Engineering Students

This book is intended for self-study or as a companion of lectures delivered to post-graduate students on the subject of the computational;

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Statistical Turbulence Modelling For Fluid Dynamics - Demystified

This book is intended for self-study or as a companion of lectures delivered to post-graduate students on the subject of the computational;

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Smoothing Methods in Statistics

of particular interest to data analysts, as arguments generally proceed from actual data rather than statistical theory, while the Background Material;

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Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative;

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The Theory of Ecology

Despite claims to the contrary, the science of ecology has a long history of building theories. Many ecological theories are mathematical;

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The Theory of Ecology

Despite claims to the contrary, the science of ecology has a long history of building theories. Many ecological theories are mathematical;

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Likelihood Methods in Biology and Ecology

Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics emphasizes the importance of the likelihood function;

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Likelihood Methods in Biology and Ecology

Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics emphasizes the importance of the likelihood function;

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A Computational Approach to Statistical Learning

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and;

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A Computational Approach to Statistical Learning

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and;

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Molecular Evolution

interpretation. Molecular Evolution: a statistical approach presents and explains modern statistical methods and computational algorithms for the;

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Settlement Ecology of the Ancient Americas

In this exciting new volume several leading researchers use settlement ecology, an emerging approach to the study of archaeological;

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Statistical Ecology in Practice

This text combines principles of good field ecology research design with practical statistical analysis, suited to the needs of advanced;

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Statistical Computing with R, Second Edition

in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational;

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From Finite Sample To Asymptotic Methods In Statistics

become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are;

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In All Likelihood

not compromised by computational problems. Examples range from a simile comparison of two accident rates, to complex studies that require;

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Computational Intelligence Techniques for Comparative Genomics

statistical analysis approach to effectively study the disorders and possible causes along with medical applications.;

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Introduction to Probability and Statistics Metric Edition

intimidating course, but this text reinforces a common-sense approach to statistical descriptions and procedures and equips you with a firm foundation;

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