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This volume presents a unique collection of original research contributions by leading experts in several modern fields of econometrics and statistics, including high-dimensional, nonparametric and robust statistics, time series analysis and factor models. Published in honour of Marc Hallin on the occasion of his 75th birthday, it puts emphasis on the fundamental and applied topics he has significantly contributed to. The volume starts with an annotated bibliography that mainly catalogues his contributions to distribution-free rank-based and quantile-oriented inference and to time series analysis. The main part of the book collects 29 authoritative contributions by some of Marc Hallin’s main collaborators, organized into six parts: rank- and depth-based methods, asymptotic statistics, quantile regression, econometrics, statistical modelling and related topics, and high-dimensional and non-Euclidean data.
Statistics. --- Econometrics. --- Time-series analysis. --- Mathematical statistics. --- Statistical Theory and Methods. --- Time Series Analysis. --- Mathematical Statistics.
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This volume presents a unique collection of original research contributions by leading experts in several modern fields of econometrics and statistics, including high-dimensional, nonparametric and robust statistics, time series analysis and factor models. Published in honour of Marc Hallin on the occasion of his 75th birthday, it puts emphasis on the fundamental and applied topics he has significantly contributed to. The volume starts with an annotated bibliography that mainly catalogues his contributions to distribution-free rank-based and quantile-oriented inference and to time series analysis. The main part of the book collects 29 authoritative contributions by some of Marc Hallin’s main collaborators, organized into six parts: rank- and depth-based methods, asymptotic statistics, quantile regression, econometrics, statistical modelling and related topics, and high-dimensional and non-Euclidean data.
Statistics. --- Econometrics. --- Time-series analysis. --- Mathematical statistics. --- Statistical Theory and Methods. --- Time Series Analysis. --- Mathematical Statistics.
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"Ce livre a pour objectif de former à une utilisation active et pratique des méthodes statistiques inférentielles, tout en initiant les étudiants à la démarche théorique et mathématique sous-jacente. Il se veut accessible aux étudiants non mathématiciens de filières universitaires. Il présente les concepts et les techniques de base de l'inférence statistique en respectant un compromis équilibré entre un certain formalisme mathématique et un caractère plus appliqué au travers de nombreux exemples et exercices. L'ouvrage est constitué de deux parties. La première reprend les éléments de la théorie des probabilités indispensables au développement et à la bonne compréhension de l'inférence statistique. La seconde partie aborde, de manière systématique et rigoureuse, les problèmes d'estimation ponctuelle et par intervalle de confiance, les tests d'hypothèses, l'analyse de la variance et le modèle de régression linéaire, pour conclure par une introduction à la théorie de la décision." Source : 4ème page de couverture
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