Displaying similar documents to “Problems in scientific time series analysis.”

On the properties typical of economic time series.

Arthur B. Treadway (1984)

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This paper summarizes the results of econometric time-series analysis performed by the author and colleagues over the last seven years, using the Box-Jenkins approach in interaction with Economic Theory. Typical univariate properties, typical data anomalies and typical relationships are described. Common practice in Econometrics is criticized and certain aspects of Economic Theory are discussed.

Signals and revisions in economic time series: a case study.

Agustín Maravall, David A. Pierce (1984)

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The paper estimates how much short-run monetary control may be affected by data noise and revisions, such as the ones implied by seasonal adjustment. The effects of the different types of data error are illustrated, and results on their empirical relevance and analytical properties are presented. The paper can be seen as an exercise that combines some elements of econometric, time series and economic analysis to answer a real world problem.

The analysis of seasonality in economic statistics: a survey of recent developments.

Christophe Planas (1998)

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This article describes the EUROSTAT activities in the field of seasonal adjustment and trend extraction in economic time series. They follow a working program which has been set up during 1995. The attention focuses on X12-REGARIMA (X12 in short), a last update of the X11-family from the Bureau of the Census (see Findley and al., 1996), and on SEATS-TRAMO (see Gomez and Maravall, 1996) which implements the ARIMA-model-based approach to decompose time series. Three main directions are...

A rainfall forecasting method using machine learning models and its application to the Fukuoka city case

S. Monira Sumi, M. Faisal Zaman, Hideo Hirose (2012)

International Journal of Applied Mathematics and Computer Science

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In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is made to find an optimal input technique. For the modelling of the rainfall, a novel hybrid...