Quantile regression, introduced by Koenker and Bassett (1978), is gradually emerging as a comprehensive approach to econometric analysis. It offers the robustness of semiparametric models—with distribution-free assumptions—while providing insights across the entire conditional distribution. The goals of this monograph are to clarify the theoretical foundations and facilitate the practical implementation of quantile regression methods. Special emphasis is placed on applying quantile regression in time series models, an area where the performance of related statistical tests remains underexplored. A detailed study on estimating the covariance matrix of quantile regression estimators is also included. Additionally, the monograph applies quantile regression to analyze the Value at Risk (VaR) of the Nikkei 225 stock index. In summary, this work presents a framework focused on estimation, asymptotic normality, statistical inference, and real-world applications of quantile regression methods.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quantile regression, introduced by Koenker and Bassett (1978), is gradually emerging as a comprehensive approach to econometric analysis. It offers the robustness of semiparametric models-with distribution-free assumptions-while providing insights across the entire conditional distribution. The goals of this monograph are to clarify the theoretical foundations and facilitate the practical implementation of quantile regression methods. Special emphasis is placed on applying quantile regression in time series models, an area where the performance of related statistical tests remains underexplored. A detailed study on estimating the covariance matrix of quantile regression estimators is also included. Additionally, the monograph applies quantile regression to analyze the Value at Risk (VaR) of the Nikkei 225 stock index. In summary, this work presents a framework focused on estimation, asymptotic normality, statistical inference, and real-world applications of quantile regression methods. N° de réf. du vendeur 9786207467693
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Quantile regression, introduced by Koenker and Bassett (1978), is gradually emerging as a comprehensive approach to econometric analysis. It offers the robustness of semiparametric models-with distribution-free assumptions-while providing insights across the entire conditional distribution. The goals of this monograph are to clarify the theoretical foundations and facilitate the practical implementation of quantile regression methods. Special emphasis is placed on applying quantile regression in time series models, an area where the performance of related statistical tests remains underexplored. A detailed study on estimating the covariance matrix of quantile regression estimators is also included. Additionally, the monograph applies quantile regression to analyze the Value at Risk (VaR) of the Nikkei 225 stock index. In summary, this work presents a framework focused on estimation, asymptotic normality, statistical inference, and real-world applications of quantile regression methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Portugiesisch. N° de réf. du vendeur 9786207467693
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Taschenbuch. Etat : Neu. Investigations on Quantile Regression | Theories and Applications for Time Series Models. 2nd Edition | Jau-Er Chen | Taschenbuch | Portugiesisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786207467693 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 133575475
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