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The multi component analysis methods of including the decision of statistical confidence interval

机译:包括统计置信区间决定在内的多成分分析方法

摘要

(57) Abstract The signal processing method of doing the multi component analyses of the signal which is obtained from spectrum response of the blend which spectrum includes disassembly possible plural molecular kinds in the processor is offered. This method offers the both of decision of density presumption and the statistical reliable section for variously. With this method, data vector d is received from the multi channel detectors, data vector d has length n c, n c is the number of detector channels which are monitored. n c line and the calibration queue K which possesses the n p line are offered, n c is larger than n p here, n p spectrum is the number of disassembly possible molecular kinds. Next, the density estimator vector c which possesses length n p is decided. Lastly, the said element of the said density estimator vector for respectively the confidence interval Ci i, formula CI i=C i (varcovar (c II) 1/2Q(cl and nf)? Following, it is decided. Here, Q is confidence level cl of given, and critical value of the statistical distribution for degree of freedom n of the number of givens f is n f=n c-n p here. This invention furthermore the program enclosure which actualizes this method, includes the device which executes DNA arrangement decision process, and this method of using this method.
机译:(57)<摘要>提供了一种对信号进行多成分分析的信号处理方法,该信号是从处理器中频谱包括可分解的多种分子的混合物的频谱响应中获得的。该方法为各种假设提供了密度推定的决定和统计可靠区间。通过这种方法,从多通道检测器接收数据向量d,数据向量d的长度为n c ,n c 是要监视的检测器通道数。提供n c 行,并提供具有n p 行的校准队列K,n c 大于n p 在这里,n p 光谱是可分解的分子种类的数目。接下来,确定具有长度n p 的密度估计矢量。最后,分别针对置信区间Ci i ,公式CI i = C i (varcovar(c II 1 / 2Q (cl and nf)?接下来,确定:Q是给定的置信度cl,是度的统计分布的临界值给定数 f 的自由度n为n f = n cn p 。本发明还实现了该方法的程序外壳,包括执行DNA排列的装置决策过程,以及使用此方法的方法。

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