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Titlebook: Cyclostationarity: Theory and Methods - II; Contributions to the Fakher Chaari,Jacek Leskow,Anna Dudek Conference proceedings 2015 The Edit

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PARMA Models with Applications in R,etail the non-parametric spectral analysis, model identification, parameter estimation, diagnostic checking (model verification) and prediction on the real data example. Our aim is to provide appropriate tool for the complete analysis of periodic time series using PARMA modelling and to popularize this approach among non-specialists.
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Multidimensional Analysis of New Zealand Electricity Prices,l approaches is provided by incorporating non-Gaussian noise structure to reproduce price spikes. The results are robust and show high accuracy in day-ahead forecasts and provide market participants with a sound basis for risk assessment.
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https://doi.org/10.1057/9780230286788tion and we show the existence of an estimator which maximizes this likelihood. This estimator converges in . to the real parameter .. We look also more precisely at the case when .. We give the expression of the estimator of . which is mean square convergent and asymptotically normal. Moreover, we show the asymptotic efficiency.
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