| 1. | The fusion method for prior distribution in multi - sources of prior information
多源验前信息下先验分布的融合方法 |
| 2. | The bayesian classification and identification method based on normal - inverted wishart prior distribution
先验分布的贝叶斯分类识别方法研究 |
| 3. | The method of using history test datum to make prior distribution and d ? s evidence fusion theory are discussed
讨论了由历史试验数据确定先验分布的方法和多源信息的d ? s证据融合方法。 |
| 4. | By using the theory of the likelihood ratio test , a method for choosing prior distributions and classes of prior distribution is given
摘要利用似然比检验原理，给出了选取先验分布及先验分布族的似然比检验方法。 |
| 5. | Results under the condition of the conjugate prior distribution , the prior parameters computed by three methods were similar
结果在共轭先验分布的条件下，先验矩、分位数、众数与分位数三种方法确定的先验分布参数结果一致。 |
| 6. | Combined with the prior distribution of the model parameters and water quality observation data , joint posterior probability function which stands for the distribution characters was obtained by bayes ' theorem
结合模型参数的先验分布和水质监测数据，通过贝叶斯定理计算获得了表征参数分布规律的联合后验概率密度函数。 |
| 7. | The central works of this paper are followed : the common expression forms of expert information and the method of using max entropy and optimization method to make prior distribution of expert information are presented
本文的主要工作如下:给出了专家信息常用的表达形式,采用最大熵方法及最优化方法给出专家信息的先验分布。 |
| 8. | It studies the determination of population distribution , information fusion of multiple sources based on evidence theory , the consistency of prior information relative to field test information and the robustness of prior distribution
就其中的总体分布的确定、多源验前信息融合问题、验前信息与现场信息的一致性问题以及验前分布的稳健性进行了研究。 |
| 9. | Methods according to the bayesian conjugate prior distribution principle , the estimating methods of prior parameters ( , ) of the conjugate beta distribution be ( , ) of the binomial distribution was given by writing the sas programs
方法根据贝叶斯共轭先验分布原理，对二项分布的共轭贝塔分布中的、两个先验参数的确定方法进行分析比较，编写sas程序确定先验参数。 |
| 10. | Our contribution to the documents is the introduction of jones - threshold model , a new research measure , to this field the combination of traditional aggregate accruals model and prior earnings distribution approach shows the advantages of prior distribution approach while more accurate and persuasive
比动仇、厂段等?一十l照，冀图收“比较出真知”之效。遗憾的是，尽管本文建立的新模型在美囚卜巾公司的分 |
