random variables信息详情
随机变量;随机变数
random───n.随意;adv.胡乱地;adj.[数]随机的;任意的;胡乱的
variables science───变量科学
antecedent variables───前因变量(antecedentvariable的复数)
collative variables───对照变量
random chat───随机聊天
dispositional variables───秉性变量
random walk───[数]随机游动;[热]无规行走
Random tracks───随机轨道
qualitative variables───[医]性质变值
We often assume in finance that random variables, such as returns,are normally distributed.───金融学中我们常假设随机变量,例如收益率,是服从正态分布的
We often assume in finance that random variables, such as returns, are normally distributed.───我们经常在金融学中假设随机变量,比如回报,是正态分布的。
A time series data set is a sequence of random variables indexed by time.───时间序列数据是以时间为指标的一个随机变量序列。
The joint distribution of random variables can totally tell us the distribution of its components and the dependence relation between them.───随机变量的联合分布完全决定了其各个分量的分布以及相依关系。
Multiple Random Variables, Bivariate Distribution, Marginal Distribution, Conditional Distribution, Independence, Multivariate Distribution.───多随机变数,双变数分布,边际分布,条件分布,独立性,多变数分布。
Allocate random positions within a rectangle according to a pair of random variables. More. . .───在根据一项对随机变量对矩形分配的随机位置。
Structural reliability considering multiple random variables was evaluated for a Jack-up platform by the presented approach.───最后以某自升式平台为工程对象,进行了考虑多个随机变量的结构可靠性评估。
Expectations, or expected values, are simply probabilistic averages of random variables(or functions of variables)in an experiment.───期望,或者期望值,就是实验中随机变量的可能平均值。
This paper derives several theorems concerning weak law of large numbers for sequence of complex independent random variables.───得到复值独立随机变量序列的几个弱大数定理。
For continuous random variables the area under the probability density function corresponds to probability.
Specific topics included are functions of random variables, regression and correlation analyses, the Bayesian approach, and elements of quality assurance and acceptance sampling.
After random variables have been determined on the based of random sensitivity parameter analysis, the fracture probability of welded structure can be calculation by using Monte Carlo method.
Bayesian inference treats model parameters as random variables whereas frequentist inference considers them to be estimates of fixed, 'true' quantities.
3 For many random variables, a good choice is the normal distribution, often represented as a bell-shaped curve, shown in Figure 1.
Then the independence of random variables with fuzzy probability(RVFP) was introduced, with the characters of mathematical expectation of discrete RVFP proved.
The random variables that need to be characterized to model this stochastically are CUSTOMER - INTERARRIVAL - TIME and TELLER - SERVICE - TIME.
Structural reliability considering multiple random variables was evaluated for a Jack-up platform by the presented approach.
The joint distribution of random variables can totally tell us the distribution of its components and the dependence relation between them.
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