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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,與擅長於此的貝葉斯統計推理技術相結合則是解決這一問題的重要途徑。
- Bayesian Statistical Inference of Single Normal Linear Equation Model in Econometrics 正態線性單方程計量經濟模型的Bayes統計推斷
- Application of Bayesian Statistics Inference Techniques Based on GIS to the Evaluation of the Regional Slope Stability 基於GIS的Bayes統計推斷技術在區域斜坡穩定性評價中的應用
- Application of Bayesian Statistics Inference Techniques Based on GIS to the Evaluation of Habitat Probabilities of Bos Gaurus Readei 基於GIS的貝葉斯統計推理技術在印度野牛生境概率評價中的應用
- In this paper, we study the nonparametric statistical inference for one distribution change point. 摘要本文研究了連續分佈函數變點的非參數統計推斷問題。
- The second objective is to develop the first principles of statistical inference. 這一章的第二個目的是研究統計推斷的一些基本原則。
- Hogg, R. V. and Tanis, E. A. (2006), Probability and Statistical Inference, Seventh Edition, Pearson Prentice Hall. 黃文隆,機率論,新世界出版社,民國八十二年。
- The empirical likelihood proposed by Owen(1988) is an important method for statistical inference. 由Owen(1988)提出的經驗似然是一種重要的統計方法 .
- Based on Bayesian statistics and the robust estimation principle. 基於貝葉斯統計和抗差估計原理,我們構造了一種抗差濾波演算法。
- Nonresponse mechanisms are the keypoints to the statistical inference on incomplete data. 在含有缺失數據的統計推斷中關鍵問題是缺失機制模型的描述,而缺失機制模型中參數的可識別性是一個重要且複雜的問題。
- Consistency of an estimator is an important property, but it alone does not allow us to perform statistical inference. 估計量的一致性是一條重要性質,但我們並不能只靠它來進行統計推斷。
- The purpose of this book is to present up-to-date theory and techniques of statistical inference in a logically integrated and practical form. 本書的目的,是採用邏輯上嚴謹而又切合實際的形式提出統計推斷的最新理論與技巧。
- Random walks, renewal theory and processes and their application, Markov chains, branching processes, statistical inference for Markov chains. 隨機過程:隨機遊走;更新理論和過程及其應用;馬爾可夫鏈;分支過程;馬爾可夫鏈統計推斷.
- The influence of observational error on statistical inference is discussed and the method to diminish the impact of stochastic error is given. 討論了觀測誤差對某些統計推斷的影響,給出了減小隨機誤差影響的方法。
- 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歸分析的原理,並能運用其方法和技巧進行統計推斷。
- Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. 具有應用數學理念如概率和統計推論、平面、立體幾何和三角法。
- This method can be used as variance analysis and data processing of Bayesian statistics evalustion. 本法可進行方差分析及貝葉斯法評價的數據處理。
- The theory development and the applied space of Bayesian statistics were explored. 探討了貝葉斯統計未來理論發展及其應用空間。
- 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. 在假定幾何過程的初始分佈為對數正態分佈的前提下,研究了幾何過程的統計推斷問題。
- Confidence intervals play a similar role in frequentist statistics to the credibility interval in Bayesian statistics. 置信區間之於頻率論統計,好比可信區間之於貝氏統計。