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Description: statistic算法-statistic algorithm
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Size: 11264 |
Author: xuri |
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Description: This package contains the MATLAB code for the algorithm proposed in the following
papers. The file "mimo_main.m" is the implementation of the algorithm in the papers.
The goal of this Matlab script is to identify a MIMO system with white inputs based
on the second and higher-order statistics of the outputs only. This code will plot
the blind estimation results using figures.-This package contains the MATLAB code for t he algorithm proposed in the following papers. The file "mimo_main.m" is the implementation o f the algorithm in the papers. The goal of this Ma tlab script is to identify a MIMO system with whi te inputs based on the second and higher-order's tatistics of the outputs only. This code will pl ot the blind estimation results using figures.
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Author: 刘美 |
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Description: matlab PCA应用于TE数据进行检测
包括SPE统计量计算，以及SPE和T方控制限的计算。-matlab PCA applies to TE detection data including SPE statistic calculation, as well as the SPE and T control limit calculations.
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Size: 2048 |
Author: 小珍 |
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Description: 于Min2min 算法和Sufferage 算法提出了基于任务调度损失的最小最早完成时间算法( Sufferage
Min2min ,SMM) 。该算法将任务调度损失引入Min2min 算法,选取最早完成时间较小的k 个任务,再优先对其中任务
调度损失最大的一个进行调度。SMM 算法克服了Min2min 算法单纯追求局部最优而缺少全局意识的缺点。测试表
明,SMM 算法可以做到调度跨度低与平均等待时间小的统一,在综合性能上较Min2min 算法有所提高。- This paper present s a new heuristic called Sufferage Min2min (SMM) ,which is based on both Min2min heu2
ristic and Sufferage heuristic. Combining task sufferage with Min2min heuristic ,SMM chooses k tasks which have smal2
ler earliest finish times ,and assigns the task ,which will be suffered most if it isn’t assigned ,to the corresponding pro2
cessor. SMM is more suitable for heterogeneous processors platforms by surmounting the limitation of Min2min heuris2
tic. The statistic f rom the experiment s proves that SMM can reach lower makespan and less average waiting time at the
same time and the performance of it is better than the one of Min2min heuristic.
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Author: Ana-liu |
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Description: SkewT分布是近年来得到广泛使用的一种参数化分布。区别于传统的正太分布、学生-t分布，SkewT分布除了具有厚伟特征之外，还引入了偏斜特征。该分布对于金融领域的研究与应用具有十分重要的价值。当然，也是一个重要的统计工具。SkewT分布由Bruce E. Hansen(1994)构造，本源码包括SkewT分布的密度函数、累计概率、随机数生成、理论矩。-SkewT distribution has been widely used recently. Different from traditional Normality and Student-t distribution, SkewT parameterizes both tail-thickness and skewness. SkewT is valuable to financial applications and studies, and other statistic tool. SkewT is firstly introduced by Bruce E. Hansen(1994). This package includes M files on the density of SkewT, CDF, random number generator and theoretical moments of SkewT.
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Size: 4096 |
Author: 方立兵 |
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Description: 参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差. 为给出两者界限，找一检验统计量T，在H0成立下其分布已知.-Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T, its distribution under the establishment of the H0 known.
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Size: 704512 |
Author: mj |
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Description: 自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。
在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。
二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。
BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线-The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods.
Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs.
Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t
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Author: driiawrl |
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Description: get mans and woman height and comute all statistic feture and run t-test and draw diagrams
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Size: 40960 |
Author: farshad |
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Description: 参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差.为给出两者界限，找一检验统计量T，在H0成立下其分布已知。-Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T, its distribution under the establishment of the H0 known.
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Size: 848896 |
Author: mj |
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Description: 一元线性回归中，主要计算拟合优度（相关系数平方）、计算标准误差、计算F统计量、计算截距的t统计量、计算DW统计量等，以及借助回归分析程序包计算回归系数并估计检验统计量。-A linear regression, the main computing goodness-of-fit (correlation coefficient Square), calculation of standard error, calculation of F statistic, t statistic calculated intercept, calculation of DW statistic, and by means of regression analysis package to calculate the regression coefficient and the estimation of test statistics.
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Size: 4096 |
Author: 紫一 |
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Description: 偏最小二乘（PLS）算法建模，并提供一个实例分析，提供正常过程监控Q统计量和T统计量。-Partial Least Squares (PLS) algorithm modeling, and provides a case study to provide normal process monitoring Q statistic and T statistics.
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Size: 2048 |
Author: 小辛 |
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Description: 偏最小二乘（PLS）算法建模，并提供一个实例分析，提供异常过程监控Q统计量和T统计量。检测出故障。-Partial Least Squares (PLS) algorithm modeling, and provides a case study to provide process monitoring abnormal Q statistic and T statistics. To detect the fault.
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Author: 小辛 |
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Description: 这段代码计算Wbar和Zbar测试统计同质的非因果关系(HNC)假说。-This code computes the Wbar and Zbar test statistics of the Homogenous Non Causality (HNC) hypothesis. Under the null hypothesis of Homogenous Non Causality (HNC) hypothesis, there is no causal relationship for all the cross-units of the panel. Under the alternative, there is a causal relationship from X to Y at least for one cross-unit. In this version of the code, the panel must be balanced (a future version of the website will allow for unbalanced panel). The Wbar statistic corresponds to the cross sectional average of the N standard individual Wald statistics of Granger non causality tests. The Zbar statistic corresponds to the standardized statistic (for fixed T sample).
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Size: 18432 |
Author: 雪之恋 |
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Description: Delphi获取数据库前几行记录集，本例设定查询条件，取出数据统计结果前十名数据，并显示在列表中，是适合Delphi初学者学习参考的一个例子，datebase目录中是为你准备好的SQLSERVER数据库文件，测试时别忘记附加哦。-Delphi access database before a few rows set, the set of query, statistic data from ten data, and displayed in the list, is an example of a Delphi suitable for beginners to learn the reference, the datebase directory is a SQLSERVER database file is ready for you, don t forget to test additional oh.
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Size: 181248 |
Author: wpudn60 |
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Description: 关于主成分分析方法中T^2统计量和SPE统计量的临界故障检测幅值计算的代码。-On principal component analysis method code T ^ 2 statistic and critical failure detection amplitude SPE statistic calculated.
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Size: 2048 |
Author: 郭家豪 |
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Description: Principal Component Analysis (PCA) for fault detection and use T^2 statistic and SPE statistic
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Size: 1024 |
Author: faryad tadayon |
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Description: Statistic and inference, useful in image processing and radar systems.
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Size: 3815424 |
Author: Ali |
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