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Statistique mathématique --- Mathematical statistics

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"This book shows that it is possible to provide a fully rigorous treatment of calculus for those planning a career in an area that uses mathematics regularly (e.g., statistics, mathematics, economics, finance, engineering, etc.). It reveals to students on the ways to approach and understand mathematics. It covers efficiently and rigorously the differential and integral calculus, and its foundations in mathematical analysis. It also aims at a comprehensive, efficient, and rigorous treatment by introducing all the concepts succinctly. Experience has shown that this approach, which treats understanding on par with technical ability, has long term benefits for students."

Analyse mathématique. --- Mathematical analysis. --- Analyse mathématique.

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Mathematical statistics --- Statistique mathématique --- Problèmes et exercices

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Mathematical physics --- Physique mathématique --- Theoretische fysica. --- Mathematical physics. --- Physical mathematics --- Physics --- Mathematics --- Física.

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"Foreword This book is the English adaptation of the second edition of the book "Statistiques avec R" which was published in 2008 and was a great success in the French-speaking world. In this version, a number of worked examples have been supplemented and new examples have been added. We hope that readers will enjoy using this book for reference when working with R. This book is aimed at statisticians in the widest sense, that is to say, all those working with datasets: science students, biologists, economists, etc. All statistical studies depend on vast quantities of information, and computerised tools are therefore becoming more and more essential. There are currently a wide variety of software packages which meet these requirements. Here we have opted for R, which has the triple advantage of being free, comprehensive, and its use is booming. However, no prior experience of the software is required. This work aims to be accessible and useful both for novices and experts alike. This book is organised into two main sections: the rst part focuses on the R software and the way it works, and the second on the implementation of traditional statistical methods with R. In order to render them as independent as possible, a brief chapter o ers extra help getting started (chapter 5, a Quick Start with R) and acts as a transition: it will help those readers who are more interested in statistics than in software to be operational more quickly"--

R (Computer program language) --- Mathematical statistics --- R (Langage de programmation) --- Statistique mathématique --- Data processing. --- Informatique