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Modelling seasonality
Hylleberg, Svend (ed.) - 1992
Persistent link: https://www.econbiz.de/10000336566
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Time Series Econometrics : Learning Through Replication
Levendis, John D. - 2023 - 2nd ed. 2023.
-proof approach as much as possible, and emphasizes the practical application of econometrics. They show with examples how to … find the book useful. “How to best start learning time series econometrics? Learning by doing. This is the ethos of this …, no-nonsense, practical approach that students will love when they start learning time series econometrics. I recommend …
Persistent link: https://www.econbiz.de/10014443465
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Introduction to multiple time series analysis
Lütkepohl, Helmut - 1993 - 2. edition
Persistent link: https://www.econbiz.de/10000346751
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Mathematical model building in economics and industry ; Series 2
Kendall, M. G. (contributor) - 1970
Persistent link: https://www.econbiz.de/10000098658
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A neural network applied to economic time series
Draisma, Gerrit - 1995
Persistent link: https://www.econbiz.de/10000904892
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Shifting matrices and their application to time series models in econometrics
Turkington, Darrell A. - 1998
Persistent link: https://www.econbiz.de/10000985258
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Exact geometry of explosive autoregressive models
VanGarderen, Kees Jan - 1997
Persistent link: https://www.econbiz.de/10000972897
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An introduction to econophysics : correlations and complexity in finance
Mantegna, Rosario N.; Stanley, H. Eugene - 2000
Persistent link: https://www.econbiz.de/10001408614
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Chaos models and their implications for forecasting
Baumol, William J. - In: Eastern economic journal 11 (1985) 1, pp. 3-15
Persistent link: https://www.econbiz.de/10001013121
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A neural network applied to the calculation of Lyapunov exponents
Kaashoek, Johan F. - In: Econometric reviews 13 (1994) 1, pp. 123-137
Persistent link: https://www.econbiz.de/10001158124