2018
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Перегляд 2018 за Автор "Matsuki, Yoshio"
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Документ Відкритий доступ Analysis of moon’s gravitational-wave and earth’s global temperature: influence of timetrend and cyclic change of distance from moon(КПІ ім. Ігоря Сікорського, 2018) Matsuki, Yoshio; Bidyuk, Petro I.This research examined the influence of Moon’s gravitational-wave to Earth’s global warming process and the effects of time-trend and cyclic change of the distance between Moon and Earth. In the pervious research, we found that the Moon’s gravitational-wave could influence the process of the Earth’s global warming; and, we also found that Moon’s cyclic movement around Earth needed to be further investigated, because it gave a unique pattern of distribution in the data for the empirical analysis; while both global temperature and global carbon-dioxide increase almost linearly in the time-series. In this research we added dummy binary variables that simulate the trend of time and the cyclic changes. As a result we confirmed that the influence of Moon’s gravitational-wave is significant in the process of rising global temperature on Earth.Документ Відкритий доступ Empirical analysis of moon’s gravitational wave and earth’s global warming(КПІ ім. Ігоря Сікорського, 2018) Matsuki, Yoshio; Bidyuk, P. I.This research examines a possibility of a disturbance by Moon’s gravitational wave to the Earth’s global warming process in comparison with the increase of global volume of carbon dioxide. Because the general theory of relativity that predicts the gravitational wave of a planet has a dimension of 1/(distance)2, we analyzed the data sets of global temperature and global carbon dioxide, with this dimension of gravitational wave using Least Squares Estimation of Linear Classical Regression Model, Generalized Classical Regression Model, and Nonlinear Regression Model. The results suggest that there is a disturbance to the process of global warming by the Moon’s gravitational wave. However, there is uncertainty for this conclusion because the Moon’s rotational movement around Earth gives different type of distributions of its sample data, while global temperature and carbon dioxide increase proportionally accordingly to available time-series.