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Statistical Computing with R

feature R, Statistical Computing with R covers the traditional core material of computational statistics, with an emphasis on using the R language;

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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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Computational Statistics

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R;

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Using R for Introductory Statistics

, graphical user interfaces, and teaching with R, as well as information on writing functions and producing graphics. This is an ideal text for;

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Computational Statistics Handbook with MATLAB

A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB (R), Third Edition covers today's most;

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Computational Statistics Handbook with MATLAB

A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB (R), Third Edition covers today's most;

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Spatial Analysis with R

learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second;

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Bayesian Essentials with R

towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them;

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Beginning Data Science in R 4

computational skills and usually a minimum of programming. After reading and using this book, you'll have what you need to get started with R;

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The Statistics of Gene Mapping

, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.;

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Beginning Data Science in R 4

mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends;

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Elementary Statistics in Social Research

step-by-step computational techniques.;

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Computational Bayesian Statistics

underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the;

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Computational Bayesian Statistics

underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the;

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Applied Computational Biology and Statistics in Biotechnology and Bioinformatics

one has been exclusively devoted to computational biology and computational statistics as applied in biotechnology illustrated with;

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Basic Elements of Computational Statistics

This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a;

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Elements of Statistical Computing

development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements;

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Applied Stochastic Modelling

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience;

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Business Statistics Using R

Business Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will;

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Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Foundations and Applications of Statistics

Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern;

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Understanding Computational Bayesian Statistics

A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely;

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Simulation for Data Science with R

Harness actionable insights from your data with computational statistics and simulations using R About This Book * Learn five;

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