A comprehensive survey on current and future developments in long memory analysis. The book assembles three different strands of long memory analysis: statistical literature - including tests - on the properties of LRD processes; mathematical literature on stochastic processes; and models from economic theory providing. The text is aimed at economists, econometricians, and statisticians interested in the study of long memory in economics.
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Long rangedependent, or long memory,time seriesarestationarytime series displaying a statistically signi cant dependence between very distant obs- vations. We formalize this dependence by assuming that the autocorrelation function of these stationary series decays very slowly, hyperbolically, as a function of the time lag. Many economic series display these empirical features: volatility of asset prices returns, future interest rates, etc. There is a huge statistical literature on long memory processes, some of this research is highly technical, so that it is cited, but often misused in the applied econometrics and empirical e- nomics literature. The rst purpose of this book is to present in a formal and pedagogical way some statistical methods for studying long range dependent processes. Furthermore, the occurrence of long memory in economic time series might be a statistical artefact as the hyperbolic decay of the sample autoc- relation function does not necessarily derive from long range dependent p- cesses. Indeed, the realizations of non-homogeneous processes, e.g., switching regime and change point processes, display the same empirical features. We thus also present in this book recent statistical methods able to discriminate between the long memory and change point alternatives. Going beyond the purely statistical analysis of economic series, it is of interest to determine which economic mechanisms are generating the strong dependence properties of economic series, whether they are genuine, or spu- ous. The regularities of the long memory and change point properties across economic time series, e.g., common degree of long range dependence and/or common change points, suggest the existence of a common economic cause. 404 pp. Englisch. N° de réf. du vendeur 9783540226949
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive survey of the state of the art and of future developments in long memory analysisCombination of statistical, mathematical, and economic research in the fieldA comprehensive survey on current and future developments in long. N° de réf. du vendeur 135425884
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. xii + 390 1st Edition. N° de réf. du vendeur 26293511
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Gebundene Ausgabe. Etat : Sehr gut. Gebraucht - Sehr gut sg - ungelesenes mängelexemplar, gestempelt, mit leichten lagerspuren - Long rangedependent, or long memory,time seriesarestationarytime series displaying a statistically signi cant dependence between very distant obs- vations. We formalize this dependence by assuming that the autocorrelation function of these stationary series decays very slowly, hyperbolically, as a function of the time lag. Many economic series display these empirical features: volatility of asset prices returns, future interest rates, etc. There is a huge statistical literature on long memory processes, some of this research is highly technical, so that it is cited, but often misused in the applied econometrics and empirical e- nomics literature. The rst purpose of this book is to present in a formal and pedagogical way some statistical methods for studying long range dependent processes. Furthermore, the occurrence of long memory in economic time series might be a statistical artefact as the hyperbolic decay of the sample autoc- relation function does not necessarily derive from long range dependent p- cesses. Indeed, the realizations of non-homogeneous processes, e.g., switching regime and change point processes, display the same empirical features. We thus also present in this book recent statistical methods able to discriminate between the long memory and change point alternatives. Going beyond the purely statistical analysis of economic series, it is of interest to determine which economic mechanisms are generating the strong dependence properties of economic series, whether they are genuine, or spu- ous. The regularities of the long memory and change point properties across economic time series, e.g., common degree of long range dependence and/or common change points, suggest the existence of a common economic cause. N° de réf. du vendeur INF1000411561
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. xii + 390 Illus. N° de réf. du vendeur 7587160
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. xii + 390. N° de réf. du vendeur 18293517
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A comprehensive survey on current and future developments in long memory analysis. The book assembles three different strands of long memory analysis: statistical literature - including tests - on the properties of LRD processes; mathematical literature on stochastic processes; and models from economic theory providing. The text is aimed at economists, econometricians, and statisticians interested in the study of long memory in economics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 404 pp. Englisch. N° de réf. du vendeur 9783540226949
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Vendeur : BennettBooksLtd, Los Angeles, CA, Etats-Unis
hardcover. Etat : New. In shrink wrap. Looks like an interesting title! N° de réf. du vendeur Q-354022694X
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Long rangedependent, or long memory,time seriesarestationarytime series displaying a statistically signi cant dependence between very distant obs- vations. We formalize this dependence by assuming that the autocorrelation function of these stationary series decays very slowly, hyperbolically, as a function of the time lag. Many economic series display these empirical features: volatility of asset prices returns, future interest rates, etc. There is a huge statistical literature on long memory processes, some of this research is highly technical, so that it is cited, but often misused in the applied econometrics and empirical e- nomics literature. The rst purpose of this book is to present in a formal and pedagogical way some statistical methods for studying long range dependent processes. Furthermore, the occurrence of long memory in economic time series might be a statistical artefact as the hyperbolic decay of the sample autoc- relation function does not necessarily derive from long range dependent p- cesses. Indeed, the realizations of non-homogeneous processes, e.g., switching regime and change point processes, display the same empirical features. We thus also present in this book recent statistical methods able to discriminate between the long memory and change point alternatives. Going beyond the purely statistical analysis of economic series, it is of interest to determine which economic mechanisms are generating the strong dependence properties of economic series, whether they are genuine, or spu- ous. The regularities of the long memory and change point properties across economic time series, e.g., common degree of long range dependence and/or common change points, suggest the existence of a common economic cause. N° de réf. du vendeur 9783540226949
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