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Patton_copula_toolbox 2

于 2019-01-24 发布 文件大小:404KB
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代码说明：

  Patton Coupla 工具包，包含常见的时变和非时变Copula代码(Patton Coupla Toolbox)

文件列表：

Patton_copula_toolbox, 0 , 2019-01-20
Patton_copula_toolbox\tdis_cdf.m, 918 , 2012-09-26
__MACOSX, 0 , 2019-01-20
__MACOSX\Patton_copula_toolbox, 0 , 2019-01-20
__MACOSX\Patton_copula_toolbox\._tdis_cdf.m, 212 , 2012-09-26
Patton_copula_toolbox\sym_jc_pdf.m, 2639 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._sym_jc_pdf.m, 212 , 2006-06-04
Patton_copula_toolbox\guzhi.xlsx, 155585 , 2019-01-12
__MACOSX\Patton_copula_toolbox\._guzhi.xlsx, 322 , 2019-01-12
Patton_copula_toolbox\PlackettUgivenV_t.m, 437 , 2001-08-13
__MACOSX\Patton_copula_toolbox\._PlackettUgivenV_t.m, 212 , 2001-08-13
Patton_copula_toolbox\plackett_cdf.m, 1324 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._plackett_cdf.m, 212 , 2006-06-04
Patton_copula_toolbox\clayton_rnd.m, 1573 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._clayton_rnd.m, 212 , 2006-06-04
Patton_copula_toolbox\gumbelCL.m, 1095 , 2019-01-20
__MACOSX\Patton_copula_toolbox\._gumbelCL.m, 212 , 2019-01-20
Patton_copula_toolbox\plackett_pdf.m, 1175 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._plackett_pdf.m, 212 , 2006-06-04
Patton_copula_toolbox\Gumbel_rnd.m, 1425 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._Gumbel_rnd.m, 212 , 2006-06-04
Patton_copula_toolbox\bb7_rnd.m, 1570 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._bb7_rnd.m, 212 , 2006-06-04
Patton_copula_toolbox\sym_jc_tvp_CL.m, 1998 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._sym_jc_tvp_CL.m, 212 , 2006-06-04
Patton_copula_toolbox\cov12.m, 559 , 2001-04-27
__MACOSX\Patton_copula_toolbox\._cov12.m, 212 , 2001-04-27
Patton_copula_toolbox\tdis_inv.m, 825 , 2019-01-20
__MACOSX\Patton_copula_toolbox\._tdis_inv.m, 210 , 2019-01-20
Patton_copula_toolbox\jijin.xlsx, 155811 , 2019-01-12
__MACOSX\Patton_copula_toolbox\._jijin.xlsx, 266 , 2019-01-12
Patton_copula_toolbox\ibm_ccola_rets.txt, 85952 , 2006-02-27
__MACOSX\Patton_copula_toolbox\._ibm_ccola_rets.txt, 212 , 2006-02-27
Patton_copula_toolbox\sym_jc_cdf.m, 1657 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._sym_jc_cdf.m, 212 , 2006-06-04
Patton_copula_toolbox\tdis_pdf.m, 913 , 2019-01-20
__MACOSX\Patton_copula_toolbox\._tdis_pdf.m, 745 , 2019-01-20
Patton_copula_toolbox\bivarnormcdf_arg.m, 462 , 2006-03-08
__MACOSX\Patton_copula_toolbox\._bivarnormcdf_arg.m, 212 , 2006-03-08
Patton_copula_toolbox\kappa2tau.m, 440 , 2002-05-05
__MACOSX\Patton_copula_toolbox\._kappa2tau.m, 212 , 2002-05-05
Patton_copula_toolbox\fdis_cdf.m, 780 , 2012-09-26
__MACOSX\Patton_copula_toolbox\._fdis_cdf.m, 212 , 2012-09-26
Patton_copula_toolbox\BB7UgivenV_inverse2.m, 1341 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._BB7UgivenV_inverse2.m, 212 , 2006-06-04
Patton_copula_toolbox\bivartLL.m, 551 , 2001-05-07
__MACOSX\Patton_copula_toolbox\._bivartLL.m, 212 , 2001-05-07
Patton_copula_toolbox\GumbelUgivenV_t.m, 484 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._GumbelUgivenV_t.m, 212 , 2006-06-04
Patton_copula_toolbox\tCopula_cdf.m, 1898 , 2006-08-22
__MACOSX\Patton_copula_toolbox\._tCopula_cdf.m, 212 , 2006-08-22
Patton_copula_toolbox\contents.xls, 37888 , 2019-01-18
__MACOSX\Patton_copula_toolbox\._contents.xls, 244 , 2019-01-18
Patton_copula_toolbox\bivarnormcdf.m, 1972 , 2006-03-08
__MACOSX\Patton_copula_toolbox\._bivarnormcdf.m, 212 , 2006-03-08
Patton_copula_toolbox\tcopula_pdf.m, 1569 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._tcopula_pdf.m, 212 , 2006-06-04
Patton_copula_toolbox\MainCopulas.m, 9502 , 2012-09-26
__MACOSX\Patton_copula_toolbox\._MainCopulas.m, 212 , 2012-09-26
Patton_copula_toolbox\bivartcdfmc.m, 2172 , 2003-08-18
__MACOSX\Patton_copula_toolbox\._bivartcdfmc.m, 212 , 2003-08-18
Patton_copula_toolbox\rho2theta.m, 517 , 2002-08-05
__MACOSX\Patton_copula_toolbox\._rho2theta.m, 212 , 2002-08-05
Patton_copula_toolbox\NormalCopula_CL.m, 446 , 2006-03-09
__MACOSX\Patton_copula_toolbox\._NormalCopula_CL.m, 212 , 2006-03-09
Patton_copula_toolbox\sym_jc_CL.m, 1085 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._sym_jc_CL.m, 212 , 2006-06-04
Patton_copula_toolbox\claytonCL.m, 1082 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._claytonCL.m, 212 , 2006-06-04
Patton_copula_toolbox\BB7UgivenV_t.m, 1243 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._BB7UgivenV_t.m, 212 , 2006-06-04
Patton_copula_toolbox\nines.m, 1403 , 2003-04-16
__MACOSX\Patton_copula_toolbox\._nines.m, 212 , 2003-04-16
Patton_copula_toolbox\plackettCL.m, 959 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._plackettCL.m, 212 , 2006-06-04
Patton_copula_toolbox\empiricalCDF.m, 994 , 2006-02-27
__MACOSX\Patton_copula_toolbox\._empiricalCDF.m, 212 , 2006-02-27
Patton_copula_toolbox\ang_chen1.m, 1593 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._ang_chen1.m, 212 , 2006-06-04
Patton_copula_toolbox\bisect2.m, 2775 , 2000-11-15
__MACOSX\Patton_copula_toolbox\._bisect2.m, 212 , 2000-11-15
Patton_copula_toolbox\tCopula.m, 1764 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._tCopula.m, 212 , 2006-06-04
Patton_copula_toolbox\frankCL.m, 426 , 2003-03-11
__MACOSX\Patton_copula_toolbox\._frankCL.m, 212 , 2003-03-11
Patton_copula_toolbox\bivartpdf.m, 1065 , 2001-08-26
__MACOSX\Patton_copula_toolbox\._bivartpdf.m, 212 , 2001-08-26
Patton_copula_toolbox\contour_plots_code.m, 4024 , 2007-01-18
__MACOSX\Patton_copula_toolbox\._contour_plots_code.m, 212 , 2007-01-18
Patton_copula_toolbox\bivarnormcdf2.m, 1600 , 2006-03-08
__MACOSX\Patton_copula_toolbox\._bivarnormcdf2.m, 212 , 2006-03-08
Patton_copula_toolbox\readme.txt, 1203 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._readme.txt, 212 , 2006-06-04
Patton_copula_toolbox\beta_cdf.m, 1166 , 2012-09-26
__MACOSX\Patton_copula_toolbox\._beta_cdf.m, 212 , 2012-09-26
Patton_copula_toolbox\bivnormpdf.m, 1118 , 2007-01-18
__MACOSX\Patton_copula_toolbox\._bivnormpdf.m, 212 , 2007-01-18
Patton_copula_toolbox\bivnorm_tvp1_CL.m, 1757 , 2006-06-04
__MACOSX\Patton_copula_toolbox\._bivnorm_tvp1_CL.m, 212 , 2006-06-04
Patton_copula_toolbox\clayton_pdf.m, 1483 , 2006-08-22

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  • 2
    总结了一些常用的matlab源代码，可以用来参考作用，总结得很好。适合查阅。(Summarizes some of the commonly used Matlab source code, can be used to reference, summed it up well. Suitable for inspection)
    2013-05-11 18:17:19下载
    积分：1
  • Data
    IS95中的数据流伪随机序列的产生。用matlab中randn实现(IS95 data streams to be pseudo-random sequence generation. Achieved using randn in matlab)
    2009-10-29 12:37:16下载
    积分：1
  • edgedetect
    说明：  利用图像的阈值分割求取边缘，并与传统的方法进行对比(Image segmentation using to acquire the edge, and compared with traditional methods)
    2010-04-29 10:44:35下载
    积分：1
  • matlab1
    教程，很好的。很全面，而且容易懂，里面好多例程可以参考学习。看看就知道了，有更好的一起分享。。。。。。(Tutorials, very good. To see to know, better to share. . . . . .)
    2011-06-22 10:35:28下载
    积分：1
  • Imm
    目标跟踪的IMM算法的matlab参考程序 希望能帮到大家 (IMM target tracking algorithm matlab reference program)
    2013-09-16 17:04:43下载
    积分：1
  • accessory_parameter
    lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )
    2012-02-12 15:08:59下载
    积分：1
  • RRT-algorithmtype
    针对基本快速扩展随机树(RRT)算法存在搜索过于平均、效率低下、用时较长的缺陷，提出了一种偏向目标型的改进型RRT算法。这种算法在生成随机点时以一定概率选择最终目标点作为局部目标点，使树的扩展有一个趋向于最终目标点的趋势，从而加快了算法的收敛速度，优化了规划路径(For basic fast Random Tree (RRT) search algorithm exists too mean, inefficient, long time with defects, we proposed a goal-biased improved RRT algorithm. This algorithm when generating random points with a certain probability of selecting a final destination point as a local target, enabling the expansion of the tree has a tendency to trend the final destination point, thereby speeding up the convergence of the algorithm, optimized route planning)
    2016-05-27 11:22:11下载
    积分：1
  • niupui
    分形维数计算的毯子算法matlab代码,毕业设计有用，搭建OFDM通信系统的框架。( Fractal dimension calculation algorithm matlab code blankets, Graduation useful Build a framework OFDM communication system.)
    2016-05-09 22:54:00下载
    积分：1
  • myhuf
    对文本文件进行huffman编码，并显示huffman树(to the text document for Huffman coding, and that Huffman tree)
    2005-02-17 10:45:00下载
    积分：1
  • 003
    只是一个利用MATLAB实现同步数字锁相环仿真程序(Is just a realization of synchronous digital phase-locked loop using MATLAB simulation program)
    2010-02-28 11:00:53下载
    积分：1
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