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鲁棒控制系统仿真
统计工具箱简介
MatLab中Statistics工具箱里的各种密度函数和分布函数的作图命令-Robust control system simulation toolbox Profile Statistics Statistics Toolbox in MatLab in the various density function and distribution function of the mapping order
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数理统计工具箱：计算均值、方差，参数估计，统计绘图函数等-Statistics Toolbox: Calculate the mean, variance, parameter estimation, statistical mapping function, such as
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Matlab的数理统计工具箱是Matlab工具箱中较为简单的一个，其牵扯的数学知识是大家都很熟悉的数理统计-Matlab statistics toolbox of Matlab toolbox is a relatively simple, the mathematics involved is that we are familiar with the knowledge of mathematical statistics
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Matlab符号数学工具箱，数理统计工具箱，神经网络工具箱，微分方程工具箱应用简介-Matlab Symbolic Math Toolbox, mathematical statistics toolbox, neural network toolbox, toolbox application of differential equations Introduction
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实现图像的分割。改程序是在matlab环境下运行的，程序中用到了k-means算法，实现的结果很不错-This is the program of image segmentation based on the following work:
S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image P
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关于统计工具箱中的一些基本统计命令的PPT讲义-About Statistics Toolbox statistical commands some of the basic PPT notes
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使用了JIT的高效的k均值算法，因为使用了JIT加速，所以在统计工具箱下，比一般的k均值要快许多-Efficient K-Means using JIT (Matlab code)
This code uses the JIT acceleration in Matlab, so it is much faster than k-means in the Statistics Toolbox. It is very simple and easy to read.
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kstest_2s_2d.m：功能做两样本的二维Kolmogorov - Smirnov检验
它类似于MATLAB的内置函数的“kstest2“从统计工具箱除了“kstest_2s_2d“与二维数据处理。
[小时，pValue，KSstatistic] = kstest_2s_2d（为x1，x2，α，尾）
函数在两栏输入“ד，并以“ד，其中每一列代表一个维度。其他的选项和产出是相同的含义，是“kstest2“格式。
摘要算法（峰值，1983年）：考虑
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Matlab的数理统计工具箱是Matlab工具箱中较为简单的一个，其牵扯的数学知识是大家都很熟悉的数理统计，因此在本文中，我们将不再对数理统计的知识进行重复，仅仅列出数理统计工具箱的一些函数，这些函数的意义都很明确，使用也很简单，为了进一步简明，本文也仅仅给出了函数的名称，没有列出函数的参数以及使用方法，大家只需简单的在Matlab工作空间中输入“help 函数名”，便可以得到这些函数详细的使用方法。-Mathematical Statistics Toolbox Matlab Matlab t
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示例用法的以下的统计工具箱函数
LinearModel
NonLinearModel
GeneralizedLinearModel
-Example code illustrating the use of the following Statistics Toolbox functions
LinearModel
NonLinearModel
GeneralizedLinearModel
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Matlab数学计算，方差分析，单因素方差分析析，双因素方差分析，Matlab统计工具箱的使用
-Matlab mathematical calculation, analysis of variance, single factor analysis of variance analysis, two-factor analysis of variance, Matlab statistics toolbox use
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High Order Statistics Toolbox
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该matlab代码实现了“综合多分支分裂式层次化聚类”-Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC)
“A competitive omnibus performance criterion for divisive multi-branching
hierarchical clustering” by Soeria-Atmadja et al. (su
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基于模型的聚类工具箱。
本文档描述了各种函数用于执行基于模型的聚类和相关的任务。MATLAB统计工具箱不是必需的,除了显示系统树图。这个文档包含了一个描述基于模型的聚类方法和详细的一步一步的指导你使用MATLAB工具箱中的基于模型的聚类。-This documentation describes various functions for performing model-based clustering and
associated tasks. These are written i
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提取地震子波的完整代码，该包中不仅包含了子波提取代码，还包含了高阶统计量工具箱的完整代码，内容丰富，适合下载，欢迎各位亲下载。-Extract the complete code of seismic wavelet, the package includes not only the wavelet extraction code, also contains the complete code, higher order statistics toolbox is rich in conte
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提供了统一的处理线性和非线性的复杂值自适应滤波器的处理方法。它汇集了自适应滤波算法的前馈(横向)和反馈体系结构，以及近期复杂值统计的研究成果。-Provide a unified treatment of linear and nonlinear complex valued adaptive filters. It brings together adaptive filtering algorithms for feedforward (transversal) and feedback a
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The graphical methods of data analysis are as important as the descr iptive statistics to collect
information the data. In this section we will see some of these specialized plots available
in the Statistics toolbox and also others MATLAB main to
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Statistics toolbox is necessary only to caculate t and F distributions for the number of samples at the specified alpha. These values could be obtained a table and manually inserted in the code, thus negating the use of the statistics toolbox.-Statis
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I use Matlab 2008a which does not support Naive Bayes Classifier. scr ipt supports normal and kernel distributions. Statistics toolbox for 2008a version is used in the scr ipt. Also includes function for confusionmat
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一个基于matlab的m文件组成的网络分析的matlab工具包。包括图统计，网络理论指标的计算，以及网络可视化等功能-This is a repository of functions relevant to network/graph analysis, organized by functionality. These routines
are useful for someone who wants to start hands-on work with networks fairly
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