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simulating mixture of sub-gaussian spatial data
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نویسنده
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mousavi somayeh ,mohammadpour adel
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منبع
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aut journal of mathematics and computing - 2024 - دوره : 5 - شماره : 1 - صفحه:1 -9
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چکیده
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Spatial datasets may contain extreme values and exhibit heavy tails. so, the gaussianity assumption for the corresponding random field is not reasonable. a sub-gaussian α-stable (sgαs) random field may be more suitable as a model for heavy-tailed spatial data. this paper focuses on geostatistical data and presents an algorithm for simulating sgαs random fields.
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کلیدواژه
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simulation ,spatial data ,geostatistical data ,sgαs random field
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آدرس
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amirkabir university of technology (tehran polytechnic), department of mathematics and computer science, iran, amirkabir university of technology (tehran polytechnic), department of mathematics and computer science, iran
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پست الکترونیکی
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adel@aut.ac.ir
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Authors
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