Distribution Inference for Physical and Orbital Properties of Jupiter’s Moons
According to the physical and orbital characteristics in Carme group, Ananke group, and Pasiphae group of Jupiter’s moons, the distributions of physical and orbital properties in these three groups are investigated by using one-sample Kolmogorov–Smirnov nonparametric test. Eight key characteristics...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Astronomy |
| Online Access: | http://dx.doi.org/10.1155/2018/1894850 |
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| author | F. B. Gao X. H. Zhu X. Liu R. F. Wang |
| author_facet | F. B. Gao X. H. Zhu X. Liu R. F. Wang |
| author_sort | F. B. Gao |
| collection | DOAJ |
| description | According to the physical and orbital characteristics in Carme group, Ananke group, and Pasiphae group of Jupiter’s moons, the distributions of physical and orbital properties in these three groups are investigated by using one-sample Kolmogorov–Smirnov nonparametric test. Eight key characteristics of the moons are found to mainly obey the Birnbaum–Saunders distribution, logistic distribution, Weibull distribution, and t location-scale distribution. Furthermore, for the moons’ physical and orbital properties, the probability density curves of data distributions are generated; the differences of three groups are also demonstrated. Based on the inferred results, one can predict some physical or orbital features of moons with missing data or even new possible moons within a reasonable range. In order to better explain the feasibility of the theory, a specific example is illustrated. Therefore, it is helpful to predict some of the properties of Jupiter’s moons that have not yet been discovered with the obtained theoretical distribution inference. |
| format | Article |
| id | doaj-art-c86fb0f2f63d4928ace08e24f859cef5 |
| institution | Kabale University |
| issn | 1687-7969 1687-7977 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Astronomy |
| spelling | doaj-art-c86fb0f2f63d4928ace08e24f859cef52025-02-03T05:43:42ZengWileyAdvances in Astronomy1687-79691687-79772018-01-01201810.1155/2018/18948501894850Distribution Inference for Physical and Orbital Properties of Jupiter’s MoonsF. B. Gao0X. H. Zhu1X. Liu2R. F. Wang3School of Mathematical Science, Yangzhou University, Yangzhou 225002, ChinaDepartment of Mathematics, Shanghai University, Shanghai 200444, ChinaSchool of Mathematical Science, Yangzhou University, Yangzhou 225002, ChinaSchool of Mathematical Science, Yangzhou University, Yangzhou 225002, ChinaAccording to the physical and orbital characteristics in Carme group, Ananke group, and Pasiphae group of Jupiter’s moons, the distributions of physical and orbital properties in these three groups are investigated by using one-sample Kolmogorov–Smirnov nonparametric test. Eight key characteristics of the moons are found to mainly obey the Birnbaum–Saunders distribution, logistic distribution, Weibull distribution, and t location-scale distribution. Furthermore, for the moons’ physical and orbital properties, the probability density curves of data distributions are generated; the differences of three groups are also demonstrated. Based on the inferred results, one can predict some physical or orbital features of moons with missing data or even new possible moons within a reasonable range. In order to better explain the feasibility of the theory, a specific example is illustrated. Therefore, it is helpful to predict some of the properties of Jupiter’s moons that have not yet been discovered with the obtained theoretical distribution inference.http://dx.doi.org/10.1155/2018/1894850 |
| spellingShingle | F. B. Gao X. H. Zhu X. Liu R. F. Wang Distribution Inference for Physical and Orbital Properties of Jupiter’s Moons Advances in Astronomy |
| title | Distribution Inference for Physical and Orbital Properties of Jupiter’s Moons |
| title_full | Distribution Inference for Physical and Orbital Properties of Jupiter’s Moons |
| title_fullStr | Distribution Inference for Physical and Orbital Properties of Jupiter’s Moons |
| title_full_unstemmed | Distribution Inference for Physical and Orbital Properties of Jupiter’s Moons |
| title_short | Distribution Inference for Physical and Orbital Properties of Jupiter’s Moons |
| title_sort | distribution inference for physical and orbital properties of jupiter s moons |
| url | http://dx.doi.org/10.1155/2018/1894850 |
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