uGARCHboot-class(rugarch)
uGARCHboot-class()所属R语言包:rugarch
class: Univariate GARCH Bootstrap Class
类别:单变量GARCH自举类
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Class for the univariate GARCH Bootstrap based Forecasts.
类单因素基于GARCH引导的预测。
类对象----------Objects from the Class----------
A virtual Class: No objects may be created from it.
可能会从它创建一个虚拟类:没有对象。
扩展----------Extends----------
Class "GARCHboot", directly. Class "rGARCH", by class "GARCHboot", distance 2.
类"GARCHboot",直接。类"rGARCH"“类的”GARCHboot“,距离2。
方法----------Methods----------
as.data.frame signature(x = "uGARCHboot"):
as.data.framesignature(x = "uGARCHboot"):
plot signature(x = "uGARCHboot", y = "missing"):
图signature(x = "uGARCHboot", y = "missing"):
show signature(object = "uGARCHboot"):
显示signature(object = "uGARCHboot"):
注意----------Note----------
The as.data.frame function takes optionally the arguments which, being either “sigma” or “series”, the argument type, with the options “raw” for the bootstrapped series, “summary” for summary statistics per n.ahead, and “q” for the quantiles of the n.ahead bootstrapped series, for which the option qtile is then required and takes a numeric vector of quantiles (e.g. c(0.05, 0.95) ).<br> The plot method provides for a Parameter Density Plots (only valid for the “full” method), and the series and sigma forecast plots with quantile error lines from the bootstrapped n.ahead distribution. The plot option which relates to either a numeric choice (1:3), an interactive choice (“ask” which is the default) and an all plot choice (“all”) for which only plots 2 and 3 are included.
as.data.frame函数接受可选的参数which,“西格玛”或“系列”的说法type“的选项为”原始“的自举系列,”汇总表“汇总统计数据每n.ahead,和”Q“自举系列的n.ahead,其选项qtile需要,并采取分位数的数字矢量位数(例如:C( 0.05,0.95))。<BR>的图方法提供一个参数密度图(仅适用于“全”的方法),该系列和sigma预测图与从自举n.ahead分布的分位数的错误行。图选项“which涉及到任何一个数字的选择(1:3),互动式的选择(”问“,这是默认的),所有的图的选择(”全部“),只图2 3也包括在内。
(作者)----------Author(s)----------
Alexios Ghalanos
参考文献----------References----------
ARIMA processes, Journal of Time Series Analysis.<br> Pascual, L., Romo, J. and Ruiz, E. 2006, Bootstrap prediction for returns and volatilities in GARCH models, Computational Statistics and Data Analysis.<br>
参见----------See Also----------
Classes uGARCHforecast, uGARCHfit and uGARCHspec.
类uGARCHforecast,uGARCHfit和uGARCHspec。
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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