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New Developments in Time Series Econometrics
New Developments in Time Series Econometrics
Knygos.lt klubas Knygos.lt nariams
167,15 €
-30%
Įprastai
238,79 €
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This book contains eleven articles which provide empirical applications as well as theoretical extensions of some of the most exciting recent developments in time-series econometrics. The papers are grouped around three broad themes: (I) the modeling of multivariate times series; (II) the analysis of structural change; (III) seasonality and fractional integration. Since these themes are closely inter-related, several other topics covered are also worth stressing: vector autoregressive (VAR) mod…
  • Leidėjas:
  • Metai: 2012
  • Puslapiai: 250
  • ISBN-10: 3642487440
  • ISBN-13: 9783642487446
  • Formatas: 17 x 24.4 x 1.4 cm, minkšti viršeliai
  • Kalba: Anglų

New Developments in Time Series Econometrics (el. knyga) (skaityta knyga) | knygos.lt

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This book contains eleven articles which provide empirical applications as well as theoretical extensions of some of the most exciting recent developments in time-series econometrics. The papers are grouped around three broad themes: (I) the modeling of multivariate times series; (II) the analysis of structural change; (III) seasonality and fractional integration. Since these themes are closely inter-related, several other topics covered are also worth stressing: vector autoregressive (VAR) models, cointegration and error-correction models, nonparametric methods in time series, and fractionally integrated models. Researchers and students interested in macroeconomic and empirical finance will find in this collection a remarkably representative sample of recent work in this area.

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  • Leidėjas:
  • Metai: 2012
  • Puslapiai: 250
  • ISBN-10: 3642487440
  • ISBN-13: 9783642487446
  • Formatas: 17 x 24.4 x 1.4 cm, minkšti viršeliai
  • Kalba: Anglų

This book contains eleven articles which provide empirical applications as well as theoretical extensions of some of the most exciting recent developments in time-series econometrics. The papers are grouped around three broad themes: (I) the modeling of multivariate times series; (II) the analysis of structural change; (III) seasonality and fractional integration. Since these themes are closely inter-related, several other topics covered are also worth stressing: vector autoregressive (VAR) models, cointegration and error-correction models, nonparametric methods in time series, and fractionally integrated models. Researchers and students interested in macroeconomic and empirical finance will find in this collection a remarkably representative sample of recent work in this area.

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