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Description: 一个非常好的时间序列工具箱，详细使用说明见P. M. T. Broersen, Automatic Spectral Analysis with Time Series Models, IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 2, April 2002, pp. 211-216.
-a very good time series toolbox, detailed description of the use of P. T. M. Broersen. Automatic Spectral Analysis with Time Series M odels. IEEE Transactions on Instrumentation and Meas urement, Vol. 51, No. 2, April 2002, pp. 211-216.
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Size: 403456 |
Author: rex |
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Description: 基于matlab语言环境下的ARMA(1,1)模型的参数估计-Based on the matlab language environment ARMA (1,1) model parameter estimation
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Size: 1024 |
Author: lucy |
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Description: MMES陀螺信号的ARMA模型分析，运行通过了，并有卡尔曼滤波。-MMES gyro signal analysis of ARMA models, run through the, and Kalman filtering.
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Size: 2048 |
Author: zhangqintuo |
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Description: 含有《数字信号处理－理论、算法与实现》一书中所涉及到的绝大部分算法,DSP_FORTRAN,
DSP_C和DSP_MATLAB。DSP_FORTRAN和DSP_C各含有约40个信号处理的子程序。 用C语言编写的MA模型、ARMA模型及最小方差谱估计三个算法程序.-Contain " Digital Signal Processing- Theory, Algorithm and implementation of" one book relates to the vast majority of algorithms, DSP_FORTRAN, DSP_C and DSP_MATLAB. DSP_FORTRAN and DSP_C, each containing approximately 40 signal processing subroutine. Using C language MA models, ARMA model and the minimum variance spectral estimation procedures for the three algorithms.
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Size: 180224 |
Author: chao |
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Description: 胡广书的数字信号处理理论、算法及应用的（MA模型、ARMA模型及最小方差谱估计算法等等）C语言编写的程序。非常有用！-HU Guang-book digital signal processing theory, algorithms and applications (MA models, ARMA model and the minimum variance spectral estimation algorithms, etc.) C language procedures. Very useful!
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Size: 43008 |
Author: 蔚无 |
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Description: Several functions for evaluating the exact negative log-likelihood of ARMA models in O(n) time using the Kalman Filter
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Size: 4096 |
Author: Pippo |
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Description: Model Fitting using a Gui code in matlab. using AR,ARMA,MA models
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Size: 4096 |
Author: mohammad |
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Description: 数据分析，arma，回归，时间序列模型，回归分析等介绍。-Data analysis, arma, regression, time series models, regression analysis Introduction.
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Author: jack_white |
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Description: 基于pso算法在股票短期预测上应用，建立在arma模型的基础上-Pso algorithm based on short-term prediction in the stock application, built on the basis of arma models
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Size: 1024 |
Author: 汪建锋 |
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Description: 麻省理工大学的时间序列分析课程讲义。讲义详细介绍了时间序列分析的相关背景、数学模型及应用的知识，是非常不错的时间序列分析的资料-Time Series Analysis MIT course notes. Lecture details the background time series analysis, mathematical models and application of knowledge, is a very good time series data
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Size: 1795072 |
Author: 王二 |
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Description: 基于SVD_TSL算法的ARMA模型的参数估计，欢迎下载-SVD_TSL algorithm based on parameter estimation of ARMA models, please download
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Size: 2048 |
Author: francis |
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Description: 实验4 方程法剔除确定性趋势后的ARMA模型建模-ARMA MODELS IN EVIEWS AND DOCUMENTS
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Size: 290816 |
Author: diyiz |
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Description: ARMA 时间序列建模、预测、检验和说明-ARMA MODELS IN EVIEWS AND DOCUMENTS
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Size: 1122304 |
Author: diyiz |
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Description: arma模型的单位根检验、ADF检验、平稳化处理等-ARMA MODELS IN EVIEWS AND DOCUMENTS
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Size: 1130496 |
Author: diyiz |
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Description: 实验5 条件异方差模型对上证指数的实证研究-ARMA MODELS IN EVIEWS AND DOCUMENTS
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Author: diyiz |
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Description: 分别使用LS和TLS算法，计算出混合信号的频率。该频率估计算法的数学模型是基于ARMA模型。其中还包括详细的设计报告，有一定的参考价值。-LS and TLS algorithms were used to calculate the mixed-signal frequency. The mathematical model of the frequency estimation algorithm is based on ARMA models. It also includes detailed design report, a certain reference value.
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Size: 145408 |
Author: 黄校园 |
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Description: 基于pso算法在股票短期预测上应用，建立在arma模型的基础上-Pso algorithm based on short-term prediction in the stock application, built on the basis of arma models-Pso algorithm based on short-term forecasts in the stock application, built on the model based on the arma-Pso algorithm based on short-term prediction in the stock application, built on the basis of arma models
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Size: 1024 |
Author: leehongfly |
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Description: ARMA时间序列模型预测风电场风功率大小，matlab源代码特例分析-ARMA time series models to predict the size of wind farm wind power, matlab source code for exception analysi
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Size: 3072 |
Author: Isobel |
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Description: 用经典的BJ方法估计ARMA模型，一个经典范例-Using the classical BJ approach to estimate ARMA models, here is an example
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Size: 1024 |
Author: MINGDA |
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Description: 时间序列分析是数理统计中的一个重要分支，用随机过程理论和数理统
计方法研究随机数据序列的规律。时间序列分析提供了一套具有科学依据的
动态数据处理方法，该方法的主要手段是对各种类型的数据采用相应的数学
模型去近似描述。通过对模型的分析研究，便可更本质地了解数据的内在结
构和复杂特性，从而达到预测其发展趋势并进行必要的控制的目的。(Time series analysis is an important offset of statistics, which studys the
orderliness of stochastic data series with stochastic process theory and statistical
methods. Time series analysis provides a suit of methods dealing with dynamic
data, the most important measure of this method is to approximately depict many
kinds of data by relevant mathematical models. With the analysis and
investigation, we can constitutionally know the inherent structure and complex
character, so we can achieve the purpose of forecasting its development trend
and putting up essential control.)
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Author: wave1
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