搜索资源列表
AutoRegression
- 数学统计分析基本函数，自回归分析，包括AIC，FPE等确定阶数。-Autogression
2973421fpe
- 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 -Proceedings in accordance with the model first order recursive algorithm for parameter estimation model, and then approach fpe order to determine the model.
GameMaster_V1
- 类似FPE和GameMaster的游戏修改源码，可以参考借鉴下实现原理-FPE and the GameMaster game similar modified source code, can refer to the principle of reference to achieve
ARtest
- AR模型的C++实现 用于计算AR模型的a和E。 能自设阶数或者用FPE方法求最合适的技术-AR model of the C++ implementation of a model used to calculate the AR and E. To own or use the FPE method of order seeking the most appropriate technology
hakjhsak
- 编写fpe,适合初学者进行学习研究，不错的源码-Preparation of fpe, suitable for beginners to learn research, a good source
NetAdvantage_WinForms
- NetAdvantage的WinForms控件源码，网上非常难找，版本为2010.3,想学习winform控件开发的可以下载下来看看 NetAdvantage_WinForms_20103.1000_Source-FPE.rar-NetAdvantage for WinForms controls source, online is very hard to find, version 2010.3, want to learn winform controls can be downloa
ARmodel
- 生成一个正弦信号，使用levinson-durbin算法和最终预测阶数准则FPE估计其AR模型的阶数，并且通过解Yule-Walker方程求得AR模型的参数，进而求得该正弦信号的功率谱-Generating a sinusoidal signal, using levinson-durbin algorithm to predict the order and final order of the criteria FPE estimates its AR model and AR model
dragonraja
- dragonra龙族的源码部分 和 FPE可以修改龙族的一些方法-Dragon Source section and FPE can modify some of the ways of the Dragon
MATLAB-_AR
- 用MATLAB编程求AR参数，并采用ＦＰＥ估计AR阶数-AR parameters uated using MATLAB programming, and the use of FPE estimated AR order
order_prediction
- FPE，AIC，CAT三种AR模型预测准则，可对同一个序列同时进行阶数分析并作图，相互比较。-FPE，AIC，CAT order prediction ,can be used on the same time series and contrast with each other
lwppredict
- LWP是一种Matlab / Octave工具箱实现局部加权多项式回归（也被称为局部回归/局部加权散点平滑/黄土/ LOWESS和核平滑）。使用此工具箱，您可以使用九个具有度量窗口宽度或最近邻窗口宽度的任意一个内核来拟合任意维度的数据的局部多项式。还提供了一个优化内核带宽的函数。优化可采用留一交叉验证，GCV，AICC、AIC，FPE，T，执行，或单独的验证数据。鲁棒拟合也可用。(LWP is a Matlab/Octave toolbox implementing Locally Weight