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Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.

Mathematical analysis --- Analyse mathématique --- Quantitative research --- Big data --- Statistical methods. --- Méthodes statistiques. --- Mathematics. --- Python --- R --- Programmeren --- Programmeertaal --- Statistiek --- Python (programmeertaal) --- R (programmeertaal) --- Analyse mathématique --- Méthodes statistiques.

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Les Annales d'Economie et de Statistique (Annals of Economics and Statistics) were created in 1986 through the merging of Annales de l'INSEE and the papers of the CNRS econometric seminar. It is a general purpose review covering the major fields of economic theory, econometrics and statistics. The review has taken a specific place recognized in the community of researchers both in France and abroad. Some papers published in the Annals of Economics and Statistics have become "classics" regularly cited. The Annals of Economics and Statistics publish each year 4 issues among them a special double issue containing the proceedings of the international meeting organized each year by ADRES.

Economics --- Econometrics --- Économie politique --- Économétrie --- Econometrics. --- Economics. --- Statistical methods --- Méthodes statistiques --- Statistical methods. --- Economic statistics --- Economic theory --- Political economy --- Social sciences --- Economic man --- Economics, Mathematical --- Statistics --- Économie politique --- Économétrie --- Méthodes statistiques

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This book concerns the use of concepts from statistical physics in the description of financial systems. The authors illustrate the scaling concepts used in probability theory, critical phenomena, and fully developed turbulent fluids. These concepts are then applied to financial time series. The authors also present a stochastic model that displays several of the statistical properties observed in empirical data. Statistical physics concepts such as stochastic dynamics, short- and long-range correlations, self-similarity and scaling permit an understanding of the global behaviour of economic systems without first having to work out a detailed microscopic description of the system. Physicists will find the application of statistical physics concepts to economic systems interesting. Economists and workers in the financial world will find useful the presentation of empirical analysis methods and well-formulated theoretical tools that might help describe systems composed of a huge number of interacting subsystems.

Finance --- Statistical physics --- Physics --- Mathematical statistics --- Mathematical models --- Statistical methods --- General and Others --- Finances --- Physique statistique --- Méthodes statistiques --- Modèles mathématiques --- Statistical physics. --- Statistical methods. --- Mathematical models. --- E-books --- Econophysics. --- Economics --- Finance - Statistical methods --- Finance - Mathematical models

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Mathematical statistics --- Getaltheorie --- Nombres [Theorie des ] --- Number theory --- Economics --- Index numbers (Economics) --- Economie politique --- Nombres-indices --- Statistical methods --- Méthodes statistiques --- -Index numbers (Economics) --- AA / International- internationaal --- 304.1 --- Numbers, Index --- Prices --- Economic indicators --- Indexation (Economics) --- Economic theory --- Political economy --- Social sciences --- Economic man --- Theorie van de indexcijfers. --- Statistical methods. --- Index numbers (Economics). --- Méthodes statistiques --- Theorie van de indexcijfers --- Economics - Statistical methods

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Présentation des techniques de modélisation statistique fondées sur l'analyse de régression et appliquées aux sciences sociales. L'accent est mis sur l'application des techniques de modélisation et sur l'interprétation des estimations.

Sciences sociales --- Méthodes statistiques. --- Social sciences --- Statistical methods --- AA / International- internationaal --- 303.0 --- 330.3 --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics. --- Méthodes statistiques. --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics --- Social sciences - Statistical methods --- Méthodes statistiques