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marginal area 边缘地区 marginal credit 边际信贷,限界信贷 相似单词 marginal a. 边缘的,末端的,有旁注的 distribution n. 1.分发,分配 2.散布,分布 3.分配;分布 4.(商品)运销,经销,分销 5.按比例分配;分配法;分发方式 6.分配物,配给物;分发物 7.布置,配置,位置 JOINT 接头,接缝;接合点 joint...
This method compares two estimators of the marginal distribution of Y (or the joint distribution of (Y, Z)): one is the non-parametric maximum likelihood estimator and the other is an estimator based on the null hypothesis. This method is called the marginal distribution (MD) method or the...
We obtain such-estimates by using generalized log-linear models in a new way: we smooth both the interior and the margins of the two-way table, yielding the smoothest joint distribution on the table having the same low-order moments as the observed sample. 展开 ...
多变量联合高斯分布 (multivariable joint Gaussian distribution),可以简称为joint Gaussian或是multivariable Gaussian,以下选用joint Gaussian这种简称,约定其含义与multivariable Gaussian含义相同. 1.1 joint Gaussian的定义与简单性质 因为中心极限定理,大量彼此独立的、幅度量级相当的噪声整体影响趋于Gaussian分布,因此Gaussian...
The proposed method, which employs the multinomial distribution to define the likelihood function and the Akaike information criterion to select the fittest marginal distribution and copula, provides a systematic approach to find the joint probability distribution using the type I interval multiply censored...
概率论英文课件：ch3_4 Joint Probability Distributions 13.4 Joint Probability Distributions Joint Probability of two discrete random variables Joint probability of two continuous random variables Marginal distributions Conditional probability distributions Independence of two or more random variables ...
22 4 2 3 1/ 4 2 64 5.Independence of two or more random variables Definition 3.12 Let X and Y be two random variables, discrete or continuous, with joint probability distribution f(x,y) and marginal distribution g(x) and h(y), respectively. The random variable X and Y are said to...
(1997). The joint distribution of the time of ruin, the surplus immediately before ruin, and the deficit at ruin. Insurance: Mathematics and Economics. 21. 129-137.Gerber, H.U., Shiu, E.S.W., 1997. The joint distribution of... H Gerber,E Shiu,NAA Journal,... - 《North American...
Suppose \pi (\theta _{j}) is the prior distribution of the conditional model p(Y_j|Y_{-j}, \theta _{j}) and \pi (\theta _{-j}) is the prior distribution of the marginal model p(Y_{-j}|\theta _{-j}), then the non-informative margins condition is satisfied if the joint...