neyman 中文意思是什麼

neyman 解釋
內曼
  1. We studied its distribution pattem by using the following measures f the test for fitting to the poisson, negative binomial and neyman a distribution. at the same time, we use negative binomial parametef, dispersal index, patchiness index, cassie s index and clumping index, estimated the aggregation intensity. the results showed that the distribution pattern is typically aggregated, and the intensity of aggregation vari

    經統計分析,青島百合復合種群、各局部種群內個體的分佈格局離散分佈擬合的結果符合負二項分佈;各聚集強度參數中,叢生指標)和cassie指標(二k )均大於o ,負h項參數限)均較小,擴散系數k卜擴散型指數)和聚塊性指標( m m )均大於1 ,以上這些表明各個局部種群的分佈格局都為聚集分佈。
  2. New neural network realization algorithm for neyman - pearson criterion in hypothesis testing

    準則的神經網路實現新演算法
  3. Multisensor distributed data fusion has many practical applications, and it is a focus in technological fields. this paper deals with multisensor distributed statistic decision and multisensor distributed estimation fusion. we get some results : in multisensor distributed statistic decision, we consider multisensor distributed neyman - pearson decision with correlated observation data and suggest an efficient algorithm to search for optimum local compression rules for any fixed fusion rule

    本文在多傳感器分散式統計判決和多傳感器分散式估計融合方面進行了較為深入的研究,主要取得的成果為:在多傳感器分散式統計判決理論方面,對在相關觀測下,固定融合律的多傳感器分散式二元neyman - pearson判決,給出了最優分站壓縮律的不動點類的必要條件和相應的離散迭代演算法,並討論了演算法的收斂性。
  4. In the parameter - based fusion methods, we analyze the applicability of the bayes theory and neyman - pearson rule when they are applied to identity verification systems ; we compare global and local parameter in bayes fusion system ; we further propose weighted method, and apply it to bayes - and neyman - pearson - based identity verification system, and get a more higher verification result

    在有參數的融合方法中,分析了bayes理論和neyman - pearson準則在融合時的適用范圍;針對bayes融合系統參數的選取問題,我們分別進行了全局參數和局部參數的融合實驗;並提出了加權思想,將其用於bayes理論和neyman - pearson準則的身份識別融合系統,得到了較好的鑒別效果。
  5. Based on the detection results, to improve the detection performance of multi - band sar system, this paper proposes a decision fusion method based on neyman - pearson rule to fuse the detection results

    在目標檢測的基礎上,為了提高多波段sar系統目標檢測性能,本文提出了基於neyman - pearson準則的多波段sar目標檢測結果的決策級融合。
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