Displaying 5 results from an estimated 5 matches for "nonstationarity".
2011 Jul 07
1
Discussion on time series analysis and the use and misuse of Differencing
...oes the R module ARIMA account for unspecified deterministic structure
such as seasonal pulses, level shifts, local time trends and regular pulses
without needing to ask the user to intervene to specify this?
I have attached a Makradakis paper which hammers Box-Jenkins approach to
this problem of nonstationarity. I have also included a recent discussion
from stackexchange which you might find even more interesting.
http://stats.stackexchange.com/questions/12651/box-jenkins-model-selection/12662#12662
http://www.insead.edu/facultyresearch/research/doc.cfm?did=46900
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Tom Reilly
www.autobox.com
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V...
2008 Oct 24
0
how to do power transformation for time series data?
I am dealing with a seasonal time series data. In order to ger rid of the
nonstationarity of the variance, i need to perform power tranformation to
the data and choose the best lambda value. In Mass package, there is a
function called 'boxcox' to do power tranformation but it only deals with
linear model. Is there anyone who knows the other function that cannot
perform power tra...
2013 Feb 28
0
R and S+ Courses: Brisbane, Melbourne & Sydney
...to show how S+ and S+FinMetrics can be used in the analysis of financial data. Topics and methodologies covered include: S-Language, S+ and S+FinMetrics; Specification, Manipulation and Visualization of Financial Data; Univariate Stationary Models; Univariate Nonstationary Models; Stationarity and Nonstationarity Unit Root Tests; Long Memory Models; Vector Autoregressive Models; Cointegration Models; Univariate GARCH Models; Multivariate GARCH Models and Threshold/Switching Models. More Info<http://bit.ly/Xf9fKV>
Date: 13 & 14 June, 2013 - Sydney (Mon & Tue)
Cheers
Kris
Kris Angelovski |...
2011 Nov 06
1
VAR and VECM in multivariate time series
Hello to everyone!
I am working on my final year project about multivariate time series. There
are three variables in the multivariate time series model.
I have a few questions:
1. I used acf and pacf plot and find my variables are nonstationary. But in
adf.test() and pp.test(), the data are stationary. why?
2.I use VAR to get a model. y is the matrix of data set and I have made a
once
2010 Oct 29
3
Dickey Fuller Test
Dear Users, please help with the following DF test:
=====
library(tseries)
library(timeSeries)
Y=c(3519,3803,4332,4251,4661,4811,4448,4451,4343,4067,4001,3934,3652,3768
,4082,4101,4628,4898,4476,4728,4458,4004,4095,4056,3641,3966,4417,4367
,4821,5190,4638,4904,4528,4383,4339,4327,3856,4072,4563,4561,4984,5316
,4843,5383,4889,4681,4466,4463,4217,4322,4779,4988,5383,5591,5322,5404