搜索资源列表
arma
- arma模型的具体实现代码， 可以用-arma model of the specific code, you can use
arma
- 随机产生一个时间序列，基于C语言的基础上建立ARMA模型，进行拟合和预测-Randomly generate a time series, based on the ARMA model is based on the C language, fitting and forecasting
arma
- ARMA model is auto-regressive Moving Average model in statistical signal processing.
ARMA(2)
- ARMA模型的matlab实例,希望可以帮到大家-ARMA model matlab example and I hope you can help
ARMA
- 基于ARMA模型对招商银行股票价格的预测-ARMA model bank stock price
ARMA
- ARMA模型基于时间序列分析和预测，ARMA matlab程序源代码-ARMA model based on time series analysis and forecasting, ARMA program matlab source code
ARMA
- This the ARMA model Matlab program-This is the ARMA model Matlab program
ARMA
- 基于C++的arma模型拟合，其主要是验证arma(1,1)预测的效果，侧重于ACF和PACF的角度编程，不是用计量经济学软件做的-C++ based arma model fitting, which is mainly to verify arma (1,1) prediction results, focusing on the perspective of ACF and PACF programming, do not use econometric software
ARMA
- This m-file generate wind speed using ARMA model.
ARMA
- 模拟一个ARMA模型，然后进行时频归并。考察归并前后模型的变化-Simulate an ARMA model, then the time-frequency merge. Examine changes before and after the model merge
ARMA
- ARMA模型定阶的资料，书中包含MATLAB中ARMA定阶代码，十分详细-ARMA model order information, the book contains a set of MATLAB ARMA order code, very detailed
ARMA
- 列举了一个实例，对ARMA模型的拟合和预测方法进行了验证，得到了较好的效果-He cited an example of fitting and forecasting methods ARMA model has been verified to give good results
arma
- matlab code for ARMA model used in load forecasting using time series analysis
ARMA
- 为建立完善的ARMA模型，进行的预处理，包括野点的分离去除，离散傅里叶变换去除周期项，以及正态性、平稳性检验-For the establishment of a perfect ARMA model, the pretreatment, including the separation of the wild point removal, discrete Fourier transform to remove the periodic term, as well as the normal
ARMA
- ARMA模型，人工智能算法，用于做数据预测，效率高，预测相对精确-arma model
基于Matlab的ARMA模型时间序列分析法仿真
- 对ARMA时间序列模型在matlab上进行仿真实现。(The ARMA time series model is simulated on matlab.)
RLSKF
- 递推最小二乘拟合算法 用于实时拟合时间序列ARMA模型参数 例如 陀螺仪随机噪声 股票 交通等模型的参数拟合(Recursive least square fitting algorithm is used to fit the parameters of time series ARMA model, such as gyroscope, random noise, stock traffic and so on)
ARMA-Java--master
- ARIMA模型是通过将预测对象随时间推移而形成的数据序列当成一个随机序列，进而用一定的数学模型来近似表述该序列。根据原序列是否平稳以及回归中所包含部分的不同分为AR、MA、ARMA以及ARIMA过程。 在模型的使用过程中需要根据时间序列的自相关函数、偏自相关函数等对序列的平稳性进行判别；而对于非平稳序列一般都需要通过差分处理将其转换成平稳序列（ARIMA）；对得到的平稳序列进行建模以确定最佳模型（AR、MA、ARMA或者ARIMA）。在使用中最重要也是最关键的就是对序列进行参数估计，以检验其
Matlab时间序列模型ARMA编程
- arma模型的matlab实现以及相关说明(The matlab implementation of the ARMA model and the related instructions)
基于时间序列的ARMA预测模型matlab实例编程
- 基于时间序列的ARMA预测模型matlab实例编程(Matlab example programming of ARMA prediction model based on time series)