bayes統(tǒng)計(jì)推斷 的翻譯結(jié)果
本文關(guān)鍵詞:正態(tài)線性單方程計(jì)量經(jīng)濟(jì)模型的Bayes統(tǒng)計(jì)推斷,由筆耕文化傳播整理發(fā)布。
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bayes統(tǒng)計(jì)推斷
Bayesian Statistical Inference about Animal Number Based on the Model of Geometric Distribution
幾何分布模型下動(dòng)物總數(shù)的Bayes統(tǒng)計(jì)推斷
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Bayesian Statistical Inference of Single Normal Linear Equation Model in Econometrics
正態(tài)線性單方程計(jì)量經(jīng)濟(jì)模型的Bayes統(tǒng)計(jì)推斷
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Secondly, some general problems concerned with the engineering application of Bayesian statistical inference are studied in this dissertation.
然后,研究了Bayes統(tǒng)計(jì)推斷在工程運(yùn)用中的若干共性問題。
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The confirmation of prior distribution is the beginning and key of Bayesian statistical inference.
先驗(yàn)分布的確定與表示是Bayes統(tǒng)計(jì)推斷的出發(fā)點(diǎn)和關(guān)鍵點(diǎn)。
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Application of Bayesian Statistics Inference Techniques Based on GIS to the Evaluation of the Regional Slope Stability
基于GIS的Bayes統(tǒng)計(jì)推斷技術(shù)在區(qū)域斜坡穩(wěn)定性評(píng)價(jià)中的應(yīng)用
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Results The estimated averages of expert-reference,BAYES statistics and expert-measurement were 100.0,16.9,33.2 mg/m3 respectively for the slurry-applying workshop and 100,156,115 mg/m3 for the modeling workshop.
結(jié)果專家-參考文獻(xiàn)法、BAYES統(tǒng)計(jì)推斷法、專家-測量資料法的對(duì)搪漿車間苯濃度評(píng)估的幾何均數(shù)分別為100.0、16.9、33.2mg/m3,成型車間分別為100、156、115mg/m3。
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Bayes Statistical Inference on Generalδ-Shock Model with Zero-Failure Data
一般δ-沖擊模型中無失效數(shù)據(jù)的Bayes統(tǒng)計(jì)推斷
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Bayes Statistical Inference Procedures for Multi-System Weibull Process
多臺(tái)系統(tǒng)Weibull過程的Bayes統(tǒng)計(jì)推斷方法
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The Consistency of MEM and Bayesian Inference
MEM解的一致性和Bayes統(tǒng)計(jì)推斷
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For study the distribution character of joint dips, an advanced Bayes method is used to infer the probability distribution function(PDF)of joint dips parameters in rockmass in the paper.
為了研究節(jié)理傾向的概率分布特征,本文引入以Bayes 最小熵優(yōu)度比較檢驗(yàn)為基礎(chǔ)的概率分布的改進(jìn)Bayes 統(tǒng)計(jì)推斷方法,基于三峽工程永久船閘節(jié)理巖體3373 條結(jié)構(gòu)面的實(shí)測參數(shù),就對(duì)巖體力學(xué)性質(zhì)起控制作用的各組結(jié)構(gòu)面的傾向參數(shù)的概率分布進(jìn)行了研究。
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The Consistency of MEM and Bayesian Inference
MEM解的一致性和Bayes統(tǒng)計(jì)推斷
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Bayesian Inference on Risk Data
關(guān)于危險(xiǎn)度指標(biāo)的Bayes統(tǒng)計(jì)推斷
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Statistical Inference for Diffusion Processes
擴(kuò)散過程的統(tǒng)計(jì)推斷
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Bayesian inference of Process CapabiHty
工序能力Bayes推斷
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STATISTICAL INFERENCE FORWEIBULL DISTRIBUTION
Weibull分布的統(tǒng)計(jì)推斷
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bayesian statistical inference
In a recent paper Hernández and Johnson (1984) have given a procedure based on Bayesian statistical inference for selecting an extreme-value distribution to "best" fit available data.
Firstly, based on the basic principle of Bayesian statistical inference, the Bayesian method-posterior probability method-for the detection of gross errors is established.
Statistical inversion theory reformulates inverse problems as problems of Bayesian statistical inference.
Noncommutative Bayesian Statistical Inference From a Wedge of a Bifurcate Killing Horizon
quant-ph/0110018.) the noncommutative bayesian statistical inference from one wedge of a bifurcate Killing horizon is analyzed looking at its interrelation with the Unruh effect.
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By use of the theory of Bayesian statical inference,a Bayes reliabilityevaluation method on products with exponential distributed life time is presented.The eva-lution results for those with pretest distribution of uniform, Beta and Gamma are obtainedand a practical example is given.
運(yùn)用Bayes統(tǒng)計(jì)推斷理論,給出指數(shù)分布?jí)勖囼?yàn)產(chǎn)品可靠性Bayes評(píng)估方法,得到先驗(yàn)分布為均勻分布、Beta分布和Gamma分布可靠性評(píng)估結(jié)果,并給出一個(gè)應(yīng)用實(shí)例。
The Consistency of the Maximum Entropy Method (MEM) and the Bayesian inference have been discussed. It is proved that as a special case, MEM fits the Bayesian framework.
本文討論了MEM解的一致性,并且證明,MEM是Bayes統(tǒng)計(jì)推斷方法的特例。
A general method is devleoped in this paper for assessing local influence of minor perturbations of a sratistieal model in Bayesian analysis[1-3] .The method is based on the Kullback-Leibler divergence and cersain elementary ideas from differ-ential geometry .ami it seems to providen muified approach for handling a variety of diagnostics problems in Bayesian nalysis. In appllcations.the local estimative influence and local predictive influence in linear regressioa are discussed from Bayesian point of view. Some...
A general method is devleoped in this paper for assessing local influence of minor perturbations of a sratistieal model in Bayesian analysis[1-3] .The method is based on the Kullback-Leibler divergence and cersain elementary ideas from differ-ential geometry .ami it seems to providen muified approach for handling a variety of diagnostics problems in Bayesian nalysis. In appllcations.the local estimative influence and local predictive influence in linear regressioa are discussed from Bayesian point of view. Some numerical examples art; considered ind compared with the results of [4].
本文從Bayes觀點(diǎn)出發(fā),利用Kullback-Leibler距離和微分幾何方法,系統(tǒng)地討論了微小擾動(dòng)對(duì)于Bayes統(tǒng)計(jì)推斷的局部影響,給出了Bayes局部影響分析的一般公式作為應(yīng)用,具體討論了線性回歸模型的Bayes估計(jì)和Bayes預(yù)測的局部影響問題,數(shù)值計(jì)算的結(jié)果表明,本文的方法是比較有效的。
 
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本文關(guān)鍵詞:正態(tài)線性單方程計(jì)量經(jīng)濟(jì)模型的Bayes統(tǒng)計(jì)推斷,由筆耕文化傳播整理發(fā)布。
本文編號(hào):182396
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