Welcome![Sign In][Sign Up]
Location:
Search - ARMA mod

Search list

[matlabARMA_Model_Application

Description: 该文档介绍了ARMA模型在预测问题中的应用.-The document describes the ARMA model in forecasting applications.
Platform: | Size: 363520 | Author: 林秋秋 | Hits:

[Game Hook CrackR3F_Debug

Description: This mod may help to debugging some things in game Arma 2 and Arma 2: OA, it debugger helps for peaople who make their own SQF scripts, modes, etc-This mod may help to debugging some things in game Arma 2 and Arma 2: OA, it debugger helps for peaople who make their own SQF scripts, modes, etc...
Platform: | Size: 1149952 | Author: Alex | Hits:

[Game Hook Crack@CBA_A3

Description: 这是武装突袭3模组重要插件没有它任何MOD模组都不能用。-This is important Arma 3 module plug-ins do not have it any MOD modules are not used.
Platform: | Size: 336896 | Author: 李顺生 | Hits:

[matlabarimanet

Description: ARIMA模型全称为自回归积分滑动平均模型(Autoregressive Integrated Moving Average Model,简记ARIMA),是由博克思(Box)和詹金斯(Jenkins)于70年代初提出一著名时间序列预测方法[1] ,所以又称为box-jenkins模型、博克思-詹金斯法。其中ARIMA(p,d,q)称为差分自回归移动平均模型,AR是自回归, p为自回归项; MA为移动平均,q为移动平均项数,d为时间序列成为平稳时所做的差分次数。所谓ARIMA模型,是指将非平稳时间序列转化为平稳时间序列,然后将因变量仅对它的滞后值以及随机误差项的现值和滞后值进行回归所建立的模型。ARIMA模型根据原序列是否平稳以及回归中所含部分的不同,包括移动平均过程(MA)、自回归过程(AR)、自回归移动平均过程(ARMA)以及ARIMA过程。(To address time consuming and parameter sensitivity in the emerging decomposition- ensemble models, this paper develops a non-iterative learning paradigm without iterative training process.)
Platform: | Size: 1024 | Author: luc1fer | Hits:

CodeBus www.codebus.net