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- 非负整值随机变量多元函数序列的若干极限性质Some Limit Properties of the Multivariate Function Sequences of Nonnegative Integer-Valued Random Variables
- H值随机变量H - valued random variable
- 值value
- 超导约瑟夫逊电压基准及对2e/h值的测定The Superconducting Josephson Voltage Standard and the Determination of 2e/h Value
- L-值随机变量L-valued Random Variable
- 随机random
- 通常轴承是“非线性的”，它的刚度随h值而变。In general the bearing will be 'non-linear', the stiffness depending upon the value of h.
- 超值overflow
- 形成于缺氧水体下的无定形有机相在盆地大部分地区均有发育,其TOC值和l_H值较高;The amorphous organic matter (AOM) facies formed under anoxic water, with high TOC (Total Organic Carbon) and HI (Hydrogen Index) values, were developed in the Wenchang Formation of the majority of the basin area.
- 非负整值随机变量序列的一类强偏差定理A Class of Strong Deviation Theorem for the Sequences of Nonnegative Integer-valued Random Variable
- NA随机变量NA random variables
- 考察了初始溶液组成、H值、化温度及陈化时间对碱式碳酸钇均分散溶胶形成及颗粒尺寸的影响。The effects of the composition and the pH of the initial solution, andthe temperature and period of aging on the formation of monodispersed sol of basicyttrium carbonate and the size of the dispersed particles were investigated.
- n维随机变量n-dimensional random vector
- 表面活性剂 R( - OCH2 CH2 )- n OCH2 COOMe因 R、n和 p H值不同 ,它们的 HLB值不同 ,用途也不同。HLB value of surfactants R(-OCH 2CH 2)- nOCH 2COOMe with the different R, n and pH value are different , so their uses are different.
- 实随机变量real random variable
- 本文研究了大关、龙陵、宁蒗、普洱以及越南5次6.7级强震前后半年的地震余震衰减系数h值在空间和时间上的分布。The spatial-temporal distribution of aftershock decay coefficient h values half a year before and after the 5 strong earthquakes (M = 6.7) of Daguan, Longling, Ninglang, Puer and Viet Nam has been studied in this paper.
- 任意二值随机序列的一个强极限定理A Strong Limit Theorem on Random Binary Sequence
- 随机变量列random sequences
- 用乙酰丙酮 (HAA)掩蔽和解蔽 Mg2 +,在同一溶液、同一 p H值、指示剂和标准溶液(EDTA)直接滴定 Ca2 +、 Mg2 +。While the Mg 2+ was masked and demasked with HAA,the Ca 2+ ? Mg 2+ can be determined directly by the chelatometry in same factors that as the solution,the pH,the indicator and the standard solution.
- 随机变量矩Moment of the random variable
