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Articles by Vasilios Zarikas
Total Records ( 3 ) for Vasilios Zarikas
  C.P. Kitsos and Vasilios Zarikas
  There is a constant need for correct and meaningful statistical prediction. The General Linear Model (GLM) is a commonly used method to fit the data although most of the times the target is to construct a linear model in order to “predict” the value of the dependent variable; a goal for which GLM has not been designed for. The aim of the present study is to work on best model for a future observation, adopting the tolerance regions concept. A new method is explained and demonstrated, which is an alternative approach for choosing the optimal order of a response polynomial. The present study proposes a novel algorithm, which selects the best response polynomial, as far as prediction is concerned. The beta expected tolerance region is applied. The proposed computational approach has been applied for several data sets. This analysis, confirms the utility and the advantage of the method which provides non trivial results.
  Vasilios Zarikas , K.E. Anagnostou , P. Avlakiotis , Stavros Kotsopoulos , C. Liolios , T. Latsos , G. Perantzakis , A. Lygdis , Asimakis Lykourgiotis and D. Antoniou
  The present study describes a measuring station, implemented at the hot water source place, for collecting data of various physico-chemical factors. The integrated systems is able to continuously measure, process and transmit via a radio transmitter data regarding OPR, conductivity, water temperature and pH. An additional unit receives and stores data in convenient form for data analysis. The second part of the study presents a statistical study of the data with a time series analysis. The most important results are (1) Statistically significant correlations were found between the involved physico-chemical factors and (2) Data exhibit various periodicities.
  Vasilios Zarikas , K.E. Anagnostou , P. Avlakiotis , S. Kotsopoulos , C. Liolios , G.S. Perantzakis and A. Lygdis
  Results concerning a telemetric multi-sensor measuring station, monitoring six physico-chemical thermal water parameters are reported. The system at its final fully operational stage is capable to continuously measure, transmit and process data. It is located in Greece at Thermopylae hot spring. Τhe study presents a statistical time series analysis for all factors. It further tries to explore if there are some signals that can be considered as precursors to local seismic activity. Some interesting outcomes of the work include emerging periodicities and statistically significant correlations between the involved physico-chemical variables. An important finding is the appearance of six radon anomalies that could be precursor signals to posterior seismic activity. It is the first time that water radon anomalies from seismic activity in Greece have been analyzed.
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