f分布的英文
f distribution
f-distribution
例句与用法
- Tables for statistical distributions - f - distribution
统计分布数值表f分布 - This paper analyses deeply certain properties of special function , and uses these properties to discuss the relation between the positions of f distribution density curves with different parameters
摘要该文较深入地分析了特殊函数的某些性质，利用这些性质分析了f分布中不同参数所对应的密度曲线之间的位置关系。 - The six sigma black belt should be familiar with the commonly used probability , including : hypergeometric , binomial , poisson , normal , exponential , chi - square , student ' s t , and f
译文：六西格玛黑带应该熟悉常用的概率分布，包括超几何分布、二项式分布、泊松分布、下态分布、指数分布、卡方分布、学者t分布和f分布。 - The six sigma black belt should be familiar with the commonly used probability distributions , including : hypergeometric , binomial , poisson , normal , exponential , chi - square , student ' s t , and f
6西格玛黑带应熟悉常用的概率分布，包括超几何分布、二项式分布、泊松分布、正态分布、指数分布、卡方分布、学者t分布和f分布。 - ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution . ( 4 ) the bayesian diagnosis and unit root test method about the random error series . ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown
然后，研究了扩散先验分布下单方程模型参数的贝叶斯估计理论，证明了模型系数的后验分布为多元t分布，模型误差项方差的后验估计为逆gamma分布；根据多元t分布和f分布之间的关系，构造了模型系数线性假设检验的贝叶斯方法；根据hpd置信区间构造了随机误差序列自相关的贝叶斯诊断和单位根检验方法，并利用单方程模型的贝叶斯推断理论研究了方差已知时的贝叶斯均值控制图和方差未知时的贝叶斯均值?标准差控制图。
