To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创建模型中
作用,非参数地质统计学得到发展,文章重点介绍了非参数地质统计学4种变异函数模型。
统计地质学
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是地统计学重要内容之一,它可对空间分布数据求线性最优、无偏内插估计。
声明：
、词性分类均由互联网资源自动生成，部分未经过人工审核，其表达内容亦不代表本软件
观点；若发现问题，欢迎向我们指正。
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统
学
学To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创建模型中作用,非参数
统
学得到发展,文章重点介绍了非参数统学4种变异函数模型。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是统学重要内容之一,它可对空间
布数据求线
最优、无偏内插估。
声明：以上例句、词
均由互联网资源自动生成，部未经过人工审核，其表达内容亦不代表本软件观点；若发现问题，欢迎向我们指正。
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,
统计地质学
To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创建模型中
,非参数地质统计学得到发展,文章重点介绍了非参数地质统计学4种变异函数模型。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是地统计学重要内容之一,它可对空间
数据求线性最优、无偏内插估计。
声明：以上例句、词性类均由互联网资源自动生成，部未经过人工审核，其表达内容亦不代表本软件观点；若发现问题，欢迎向我们指正。
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,
地质
To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创建模型中作用,非参数地质
得到发
,
重点介绍了非参数地质4种变异函数模型。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是地重要内容之一,它可对空间分布数据求线性最优、无偏内插估。
声明：以上例句、词性分类均由互联网资源自动生成，部分未经过人工审核，其表达内容亦不代表本软件观点；若发现问题，欢迎向我们指正。
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,
统计地质学
To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创建模型中作用,非参数地质统计学得到发展,文章重点介绍了非参数地质统计学4种变异函数模型。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是地统计学重要内容之一,它可对空间分布数据求线性最优、无偏内插估计。
声明：以上例句、词性分类均由
资源自动生成，部分未经过人工审核，其表达内容亦不代表本软件观点；若发现问题，欢迎向我们指正。
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,
统计地质学
To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创建模型中,
参数地质统计学得到发展,文章重点介绍了参数地质统计学4种变异函数模型。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是地统计学重要内容之一,它可对空
数据求线性最优、无偏内插估计。
声明：以上例句、词性类均由互联网资源自动生成，部未经过人工审核，其表达内容亦不代表本软件观点；若发现问题，欢迎向我们指正。
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,
统计地质学
To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创
中作用,非参数地质统计学得到发展,文章重点介绍了非参数地质统计学4种变异函数。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是地统计学重要内容之一,它可对空间分布数
性最优、无偏内插估计。
声明：以上例句、词性分类均由互联网资源自动生成，部分未经过人工审核，其表达内容亦不代表本软件观点；若发现问题，欢迎向我们指正。
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,
统地质学
地质学To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
轻人因素在创建模型中作用,非参数地质统学得到发展,文章重点介绍非参数地质统学4种变异函数模型。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是地统学重要内容之一,它可对空间分布数据求线性最优、无偏内插
。
明：以上例句、词性分类均由互联网资源自动生成，部分未经过人工审核，其表达内容亦不代表本软件观点；若发现问题，欢迎向我们指正。
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,
统计地质学
To reduce subjective factor in geostatistical modeling,non-parametrical geostatistics has become popular.This paper presents four kinds of variogram model for non-parametrical geostatistics.
为了减轻人为因素在创中作用,非参数地质统计学得到发展,文章重点介绍了非参数地质统计学4种变异函数。
Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative.
克里格法是地统计学重要内容之一,它可对空间分布数性最优、无偏内插估计。
声明：以上例句、词性分类均由互联网资源自动生成，部分未经过人工审核，其表达内容亦不代表本软件观点；若发现问题，欢迎向我们指正。
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geostatic, geostatics, geostationary, geostationary orbit, geostationarysatellite, geostatistics, geostenogram, geostenography, geostrategic, geostrategist,