In this paper we investigate the relationship between crude and age adjusted mortality andeconomic conditions by … wavelet analysis in Sweden over the period 1800-2000. We use wavelet correlations and cross-correlations to analyze the … contemporaneous connection as well as the lead/lag relationship between mortality and GDP at different time scales. Our results …

and mortality data for the period 1751-2004 using different time scales. We find that periods with higher temperature are … associated with lower mortality. The results indicate that long term climate variations in annual mean temperatures and not short … term variations explain the connection between temperature and mortality. Considering annual extreme temperatures, we find …

(Econom Theory 26:1305–1331, <CitationRef CitationID="CR8">2010</CitationRef>) proposed a wavelet ratio test which took … advantage of the information from the frequency domain by using a wavelet spectrum methodology. This test shows a better power … paper will apply the wavelet ratio statistic to give a comparison with the test by using Dickey–Fuller t statistic in the …

wavelet decomposition methods were applied to preprocess the original chaotic soil water signal. The results of the prediction … systems showed that the appropriate de-noising methods and the tendency of wavelet transformation had less effect on the delay …, while the appropriate wavelet transformation to get smaller Maximum Lyapunov Exponent (λ<Subscript>1</Subscript>) of the …

. In recent years, wavelet analysis have commonly been used instead of Fourier analysis. This is a new approach for …, Turkey. A 13-month data series was compared with results from laboratory analysis by using wavelet model techniques. The …<Superscript>-</Superscript> (chlorine), NO<Subscript>3</Subscript>-N (nitrate) and pH values. Wavelet analysis of extreme events showed the role of seasonal …

sustainability, recreation, and economic development. In this study, wavelet transform, fuzzy logic and multilayer perceptron … techniques are combined to obtain new approaches for forecasting lake level fluctuation. The wavelet approach is used to …, stand-alone multilayer perceptron combined wavelet-fuzzy and combined wavelet-multilayer perceptron models in order to …

finite variance, and it generatessynthetic sequent-peak algorithms. Haar wavelet is used in thegeneration scheme. The …

investment horizons using copulas and wavelet methods. Our results indicate that the degree and structure of the dependence of … wavelet-copula model improves the accuracy of VaR estimates, compared to traditional approaches. …