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Analyse --- Economie --- Methodologie --- Méthodologie --- Statistieken --- Statistiques --- Time-series analysis --- 519.21 --- AA / International- internationaal --- 304.7 --- 304.5 --- 304.0 --- Probability theory. Stochastic processes --- Sequenties (statistische analyse). --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie. --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- 519.21 Probability theory. Stochastic processes --- Sequenties (statistische analyse) --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen
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Quantitative methods (economics) --- Analyse --- Economie --- Methodologie --- Méthodologie --- Statistieken --- Statistiques --- Time-series analysis --- Périodicité --- Periodicity --- Analyse de données --- Data analysis --- Méthode statistique --- Statistical methods --- Temps --- time --- Spectrométrie --- Spectrometry --- 519.21 --- 330.43 --- AA / International- internationaal --- 304.0 --- 304.5 --- 304.7 --- Probability theory. Stochastic processes --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie. --- Sequenties (statistische analyse). --- 519.21 Probability theory. Stochastic processes --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie --- Sequenties (statistische analyse) --- Serie chronologique --- Frequence
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Based on two lectures presented as part of The Stone Lectures in Economics series, Arnold Zellner describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling. Developed by Zellner and Franz Palm, the SEMTSA approach produces an understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models. As scientists and decision-makers in industry and government world-wide adopt the Bayesian approach to scientific inference, decision-making and forecasting, Zellner offers an in-depth analysis and appreciation of this important paradigm shift. Finally Zellner discusses the alternative approaches to model building and looks at how the use and development of the SEMTSA approach has led to the production of a Marshallian Macroeconomic Model that will prove valuable to many. Written by one of the foremost practitioners of econometrics, this book will have wide academic and professional appeal.
Econometric models --- Time-series analysis --- Economic forecasting --- Business, Economy and Management --- Economics --- AA / International- internationaal --- 303.6 --- 304.7 --- 304.8 --- 304.6 --- 304.0 --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference. --- Sequenties (statistische analyse). --- Steekproeftheorie. --- Variantie-analyse, tests. --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Econometric models. --- Time-series analysis. --- Economic forecasting. --- Forecasting --- Economic indicators --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Econometrics --- Mathematical models --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Variantie-analyse, tests --- Sequenties (statistische analyse) --- Steekproeftheorie
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