similar to: arima: warning when fixing MA parameters.

Hi dear sirs, I am wondering why the fit of the time serie x with an arima and the fit of diff(x) with an arma (same coeff p & d) differ one from another here are the output of R: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% > modelarma<-arma(diff(x),c(7,5)) > modelarma Call: arma(x = diff(x), order = c(7, 5)) Coefficient(s): ar1 ar2 ar3 ar4 ar5 ar6 ar7 ma1 ma2 0.06078

Hello everybody! I have an ARIMA model for a time series. This model was obtained through an auto.arima function. The resulting model is a ARIMA(2,1,4)(2,0,1)[12] with drift (my time series has monthly data). Then I perform a 12-step ahead forecast to the cited model... so far so good... but when I look the plot of my forecast I see that the result is really far from the behavior of my time

On Tue, Oct 13, 2009 at 5:06 PM, Rolf Turner <r.turner@auckland.ac.nz>wrote: > > Not clear to me what the OP really wants. Perhaps the seasonal > model is what's required; perhaps an arima(1,0,4) model with > theta_2 and theta_3 constrained to be 0. The latter can be > achieved with > > arima(x,order=c(1,0,4),fixed=c(NA,NA,0,0,NA,NA)) > > Or perhaps

Hello, I'm running a number of arima models using the "arima" function. Often, when lag length gets too high, these model don't converge and an error message appears as this: > reg <- arima(y,order=c(7,0,7),xreg=isr) Warning message: In arima(y, order = c(7, 0, 7), xreg = isr) : possible convergence problem: optim gave code=1 In this case, when you print the results

Dear list and Martin, I'm testing different approaches to fit an electricity demand time series and come upon the fracdiff package (v 1.3-1) for fitting fractional ARIMA models. The following questions are motivated by this package. 1. Despite having a help page, the residuals and fitted functions don't seem to have implementation, or did i miss something obvious? Alternatively, having a

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Dear all, Is there anyway too generate MA plot for 2 qPCR assays (an array of 2x 400). -- View this message in context: http://r.789695.n4.nabble.com/Bioconductor-MA-plot-for-qPCR-array-tp4182805p4182805.html Sent from the R help mailing list archive at Nabble.com.

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Hi everyone, I am performing the time series regression analysis on a series of data sets. A few data sets followed an ARMA(1,1) process. However, they all had a same value of moving average MA coefficients = -1, constantly, from output of function “arima" . Example: > arima(residuals, order=c(1,0,1)) Call: arima(residuals, order = c(1, 0, 1)) Coefficients:          ar1      ma1  intercept

Dear colleagues, I am relatively new to R and time series and so I am experiencing difficulties in interpreting the output of "arima" in MA models (but not in AR models). I cannot make sense of the 1st innovations returned by "arima". In an AR(1) model I expect data[t]=phi1*data[t-1]+a[t] and in a MA(1) model data[t]=a[t]+theta1*a[t-1]. My interpretation from R-help is

Dear R People: I ran an ARIMA(1,0,1) on a particular series in R and got a negative MA(1) estimate. Then I ran an ARIMA(1,0,1) on the same series in Minitab and got a positive MA(1) estimate. The values are about -0.69 and 0.70. Does R show the opposite value, please? Thanks, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston -

Hello, I asked this question on the r-finance list server and didn't get a reply. Thought I would try here to. I am trying to deseasonalize some financial time series data and I wanted some feedback on the best methods for doing this. I found two Centered Moving Average and Holt-Winters. Which is better and/or more appropriate for financial time series data in your opinion? I understand

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2018-05-10 21:57 GMT+02:00 Lance Albertson <lance at osuosl.org>: > I see with the introduction of CentOS 7.5 there's a new qemu-kvm-ma > package on ppc64le (which is actually newer than qemu-kvm-ev currently). > Does anyone know what the difference is between these two packages? We > currently use qemu-kvm-ev and we've run into this bug [1] which got me > wondering

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On 10/5/20 3:33 am, Sebastian Nielsen wrote: > And then this in plugins.conf: > > plugin { > sieve_plugins = sieve_imapsieve > imapsieve_mailbox1_name = Trash > imapsieve_mailbox1_before = file:/etc/dovecot/sieve/trash.sieve > } Maybe adding this will help... imapsieve_mailbox1_causes = COPY FLAG

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