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Modeling seasonality in new product diffusion
Peers, Yuri; Fok, Dennis; Franses, Philip Hans - In: Marketing science : the marketing journal of the … 31 (2012) 2, pp. 351-364
Persistent link: https://www.econbiz.de/10009548691
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Additive outliers, GARCH and forecasting volatility
Franses, Philip Hans; Ghijsels, Hendrik - In: International journal of forecasting 15 (1999) 1, pp. 1-9
Persistent link: https://www.econbiz.de/10001428359
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On forecasting cointegrated seasonal time series
Löf, Mårten; Franses, Philip Hans - In: International journal of forecasting 17 (2001) 4, pp. 607-621
Persistent link: https://www.econbiz.de/10001637765
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Recent advances in modelling seasonality
Franses, Philip Hans - In: Journal of economic surveys 10 (1996) 3, pp. 299-345
Persistent link: https://www.econbiz.de/10001204295
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Cointegration analysis of seasonal time series
Franses, Philip Hans; McAleer, Michael - In: Practical issues in cointegration analysis, (pp. 235-262). 1999
Persistent link: https://www.econbiz.de/10001550942
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Determining the order of differencing in seasonal time series processes
Franses, Philip Hans; Taylor, Robert - In: The econometrics journal 3 (2000) 2, pp. 250-264
Persistent link: https://www.econbiz.de/10001546195
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The effects of additive outliers on tests for unit roots and cointegration
Franses, Philip Hans - In: Journal of business & economic statistics : JBES ; a … 12 (1994) 4, pp. 471-478
Persistent link: https://www.econbiz.de/10001170590
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Bayesian analysis of seasonal unit roots and seasonal mean shifts
Franses, Philip Hans - In: Journal of econometrics 78 (1997) 2, pp. 359-380
Persistent link: https://www.econbiz.de/10001219967
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On seasonal cycles, unit roots, and mean shifts
Franses, Philip Hans - In: The review of economics and statistics 80 (1998) 2, pp. 231-245
Persistent link: https://www.econbiz.de/10001240839
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The impact of seasonal constants on forecasting seasonally cointegrated time series
Kunst, Robert M. - In: Journal of forecasting 17 (1998) 2, pp. 109-124
Persistent link: https://www.econbiz.de/10001244492