Using recent advances in time-varying spectral methods, this research analyses the growth cycles of the core of the euro area in terms of frequency content and phasing of cycles. The methodology uses the continuous wavelet transform (CWT) and also Hilbert wavelet pairs in the setting of a...

Selecting proper methods of data modelling is crucial in geosciences, as effective data visualization enables better understanding of complex geological phenomena: processes, structure and dynamics. Various approaches of the data analysis by R language include both traditional methods of linear...

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...

This study aims to find out how high the level and trends of student misconceptions experienced by high school students in Indonesia. The subject of research that is a class XI student of Natural Science (IPA) SMA Negeri 1 Anjatan with the subject matter limit function. Forms of research used in...

We discuss the results of the statistical tolerance test of the General Administration Management component of the Capital Expenditure of the Bangalore Municipal Corporation which carries ahead our two previous connected studies (A. Sathyavathi (2023(a)), Analysis of the General Administration...

In continuation of our previous study (A. Sathyavathi (2023). Analysis of the General Administration Management Expenditure of the Bangalore Municipal Corporation https://www.ssrn.com/abstract=4403863 ; http://dx.doi.org/10.2139/ssrn.4403863 ) we propose to further analyze the sample of the...

In this very first paper of a series of forthcoming research papers of ours, which we propose to bring out in near future regarding the detailed statistical and mathematical analysis of the financial resources and the budget of the Bangalore Municipal Corporation (more appropriately now called...

This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their effectiveness as a portfolio diversification tool and explores the correlations between the continuously compounded returns on Bitcoin, Ethereum and the S&P500 Index using a variety of parametric...

The objects of study of the humanities and social sciences are intrinsically complex. Because it is philosophically attractive, and because it helps in practice to manage such complexity, one of the most influential central ideas throughout the history and present of these disciplines is the...

Wavelet analysis, although used extensively in disciplines such as signal processing, engineering, medical sciences, physics and astronomy, has not yet fully entered the economics discipline. In this discussion paper, wavelet analysis is introduced in an intuitive manner, and the existing...