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- Therefore, it is an important way to solve this problem by the integration of Bayesian statistics inference with GIS. 因此，与擅长于此的贝叶斯统计推理技术相结合则是解决这一问题的重要途径。
- Bayesian Statistical Inference of Single Normal Linear Equation Model in Econometrics 正态线性单方程计量经济模型的Bayes统计推断
- Application of Bayesian Statistics Inference Techniques Based on GIS to the Evaluation of the Regional Slope Stability 基于GIS的Bayes统计推断技术在区域斜坡稳定性评价中的应用
- Application of Bayesian Statistics Inference Techniques Based on GIS to the Evaluation of Habitat Probabilities of Bos Gaurus Readei 基于GIS的贝叶斯统计推理技术在印度野牛生境概率评价中的应用
- In this paper, we study the nonparametric statistical inference for one distribution change point. 摘要本文研究了连续分布函数变点的非参数统计推断问题。
- The second objective is to develop the first principles of statistical inference. 这一章的第二个目的是研究统计推断的一些基本原则。
- Hogg, R. V. and Tanis, E. A. (2006), Probability and Statistical Inference, Seventh Edition, Pearson Prentice Hall. 黄文隆，机率论，新世界出版社，民国八十二年。
- The empirical likelihood proposed by Owen(1988) is an important method for statistical inference. 由Owen(1988)提出的经验似然是一种重要的统计方法 .
- Based on Bayesian statistics and the robust estimation principle. 基于贝叶斯统计和抗差估计原理，我们构造了一种抗差滤波算法。
- Nonresponse mechanisms are the keypoints to the statistical inference on incomplete data. 在含有缺失数据的统计推断中关键问题是缺失机制模型的描述,而缺失机制模型中参数的可识别性是一个重要且复杂的问题。
- Consistency of an estimator is an important property, but it alone does not allow us to perform statistical inference. 估计量的一致性是一条重要性质，但我们并不能只靠它来进行统计推断。
- The purpose of this book is to present up-to-date theory and techniques of statistical inference in a logically integrated and practical form. 本书的目的，是采用逻辑上严谨而又切合实际的形式提出统计推断的最新理论与技巧。
- Random walks, renewal theory and processes and their application, Markov chains, branching processes, statistical inference for Markov chains. 随机过程:随机游走;更新理论和过程及其应用;马尔可夫链;分支过程;马尔可夫链统计推断.
- The influence of observational error on statistical inference is discussed and the method to diminish the impact of stochastic error is given. 讨论了观测误差对某些统计推断的影响，给出了减小随机误差影响的方法。
- Understanding of bad-square analysis and regression analysis of the principle, and can use its methods and techniques for statistical inference. 理解平方差分析及回归分析的原理，并能运用其方法和技巧进行统计推断。
- Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. 具有应用数学理念如概率和统计推论、平面、立体几何和三角法。
- This method can be used as variance analysis and data processing of Bayesian statistics evalustion. 本法可进行方差分析及贝叶斯法评价的数据处理。
- The theory development and the applied space of Bayesian statistics were explored. 探讨了贝叶斯统计未来理论发展及其应用空间。
- Under the assumption that a geometric process at the start point follows a lognormal distribution, the statistical inference problem for the geometric process is studied. 在假定几何过程的初始分布为对数正态分布的前提下,研究了几何过程的统计推断问题。
- Confidence intervals play a similar role in frequentist statistics to the credibility interval in Bayesian statistics. 置信区间之于频率论统计，好比可信区间之于贝氏统计。
