Discussion on approximated estimation method of the three-parameter lognormal distribution
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作者:
Li, Mengwen
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机构:
Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Li, Mengwen
[1
]
Mao, Jingwen
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Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Mao, Jingwen
[1
]
Zhan, Mingguo
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Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Zhan, Mingguo
[1
]
Ye, Huishou
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Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Ye, Huishou
[1
]
Guo, Baojian
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Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Guo, Baojian
[1
]
Chai, Fengmei
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Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Chai, Fengmei
[1
]
Xu, Qinghong
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机构:
Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Xu, Qinghong
[1
]
机构:
[1] Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
geostatistics;
regionalized variables;
three-parameter lognormal distribution;
general least square estimator;
two-step iteration;
D O I:
10.1007/3-540-27946-6_375
中图分类号:
P5 [地质学];
学科分类号:
0709 ;
081803 ;
摘要:
Many regionalized variables in geostatistics often show skew distributions. In this case it is possible to consider whether they follow the lognormal distribution with three parameters. This paper proposes a new method for the optimal estimation of the three-parameters of these distributions. The test shows that the approximated estimation is simple and effective for moderate and large samples, so it is helpful to the statistical distribution testing and statistical prediction of mineral resources.
机构:
Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, MoscowFaculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow
Kozlov V.D.
Maysuradze A.I.
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机构:
Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, MoscowFaculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow
机构:
College of Automotive and Mechanical Engineering,Changsha University of Scienceand TechnologyCollege of Automotive and Mechanical Engineering,Changsha University of Scienceand Technology