1) Consective hail days
连续性降雹分布
2) continuous distribution
连续分布
1.
Universal formulas of Bayes 2-sample prediction of general continuous distribution;
连续分布的Bayes双样预测的通用公式
2.
For Monnte-Carlo simulation frequently used in risk analysis, a great deal of sampling has to be done to get the reliable continuous distributions of risk variables.
由于风险分析中频繁使用的蒙特卡罗模拟,必须对风险变量所符合的连续分布大量抽样,才能得到较可信的结果。
3) distribution of hail
冰雹分布
1.
Research on the relationship of topographical factors to distribution of hail,and getting an image of subdivisions for hail hazard which quantificationally concerns the difference of topographical factors are important to hail weather forecasting.
使用贵州省1961—2004年84个气象台站44年历史冰雹记录及1:1000000全国数字高程模型(DEM)资料,采用基于GIS的数字地形分析、分区统计和图像分类方法,研究了冰雹分布与地形高程、坡向、坡度及地形切割深度的关系。
4) continuous snowfall
连续性降雪
1.
This paper analyzes comprehensively on the continuous snowfall process, and advances the foundation of forecasting this snowfall process.
对连续性降雪过程进行了综合分析,提出了该类降雪过程的预报着眼点。
5) connected of nuclei distribution
核素分布的连续性
6) continuous parameter of linear exponential distribution
连续型线性指数分布
1.
In this paper,the Bayes estimation problem for the continuous parameter of linear exponential distribution has been derived and the empirical Bayes(EB) estimator is constructed by using the identicallly distributed and negatively associated(NA) samples.
对连续型线性指数分布在平方损失下导出了参数的Bayes估计,利用同分布负相协(NA)样本构造了经验Bayes(EB)估计量,并在适当的条件下获得(EB)估计的速度。
补充资料:连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt,n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
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参考词条