A new concept of the equivalent process capability index and its estimating method are provided at ppm level . a probability distribution family named pearson distribution is introduced and its seven types of probability density function are deeply analyzed 引入了一种名为皮尔逊( pearson )分布的概率分布族并对其七种不同类型的概率密度函数作了深入的分析与研究。
The probability density function of net rainfall relative errors , flood peak discharge relative errors and the time error of the forecasted flood peak are calculated by the model developed 通过建立洪水预报误差分布的最大摘模型，计算出9座典型水库洪水预报的净雨相对误差、洪峰流量相对误差和峰现时间预报误差的概率密度函数，并将其概率密度函数曲线与正态分布曲线进行比较。
A verification technique , which obtains unbiased estimator for the means and variance of several global and local features is presented and a matching way after acquiring the threshold by probability density function is achieved 摘要论述了在获得在线手写签名的曲线的一些局部和全局特征的平均值和方差的无偏估计的基础上，通过概率密度函数进而获取阈值进行匹配的鉴别方法。
The paper in the context of the statistic - dynamic analyses the heterogeneity of spatial distribution of the precipitation . the generality of the spatial probability distribution model of the precipitation was explored 本文从陆面过程的物理机制出发，利用统计? ?动力学方法，阐述了中国区域的月降水量和日降水量的空间分布非均匀性，并寻求适宜的空间分布概率密度函数进行描述。
This dissertation reviewed the history and current status of the research of dielectric window breakdown , investigating the basic idea and application of monte carlo method , and sought a best random sample for different probability density function 本文回顾了介质窗击穿研究的历史与现状,探讨了蒙特卡罗方法的基本思想和应用技巧,针对不同概率密度函数的性质寻求其最优的抽样方法。
As for the m - ary psk signals , the differential phase peaks at the transients are used . the pdf ( probability density function ) of the differential phase peaks of m - ary psk are the mean of m - 1 pdfs of m - 1 phase peaks 由于进制的数字调相信号每个子码间具有个相位突变，其相位突变的峰值满足一个概率密度为的分布，若信号为元psk信号，则相位突变峰值的概率密度函数就是个概率密度之和的平均。
Wavelet is suitable to non - stationary signals processing . we applied wavelet transform to insar data processing and did following researches : 1 ) assumed the probability density function of signal and noise of real part and imaginary part of sar interferogram 本文将小波分析应用于干涉sar数据处理，进行了以下几方面的研究： 1 )将干涉图复数据分为实部和虚部，对实部、虚部的信号和噪声的概率密度函数进行假定。
Under the frame of natural gradient algorithm , an ica algorithm based on adaptive kernel estimation is proposed , which can separate arbitrary mixed signals ( such as super - gaussian and sub - gaussian , symmetric and asymmetric signals ) 摘要在自然梯度算法的框架下，本文利用随机变量概率密度函数非参数估计的自适应核函数法，给出了一种能够对任意混合信号（超高斯和亚高斯信号，对称和非对称分布信号）进行盲分离的算法。
In recent years various methods of estimation about probability density function of random variable sequence that is independent and identically distributed ( abbreviated as iid . ) and large sample quality have been more discussed in research documentation )序列的概率密度函数的各种估计方法及其大样本性质的研究文献中已有很多讨论，研究得最多的还是密度函数的核估计，如rosenblent , parzen ， prakasarao和silverman等。
Secondly , we numerically simulate the turbulence behavior of one - dimension fpu model and obtain probability density functions of the velocity differences in different conditions . we use tsallis statistics to fit the probability density functions and find out it was fitted very well 其次，我们对一维fpu模型中类似湍流行为进行了数值模拟，得到不同条件下速度差的概率密度函数，并利用tsallis统计对其进行拟合，发现两者符合得非常好。
