I have an example of call center data for 2013. There are 261 days of data (excluding weekends). For 2013, I have included a holiday dummy variable (holiday) for the days where there were no stats. For 2014, I have also included a future holiday dummy variable (holidayf). My objective is to assess how accurate … Read more
I've attached a picture of the time series I'm talking about. The top is the original series, the bottom is the differenced series. Each data point is a 5 minute average reading from a strain gauge. This strain gauge is placed on a machine. The noisy areas correspond to areas where the machine is turned … Read more
I have some time series data and want to test for the existence of and estimate the parameters of a linear trend in a dependent variable w.r.t. time, i.e. time is my independent variable. The time points cannot be considered IID under the null of no trend. Specifically, the error terms for points sampled near … Read more
I’m trying to estimate the out-of sample forecast of an ARIMA model, I tried the code below, but it totally doesn’t work! for(i in 1:83) { mod[i] <- arima(window(betahat[,1], start=1, end=109+i),order=c(1,0,0),include.mean=TRUE) pre[i] <- predict(mod[i],12) error[i] <- pre[i]$pred[12]-betahat[(109+i+12),1] } the data are taken monthly and I divided the data into 2 subsets, the first composed by … Read more
What modern tools (Windows-based) do you suggest for modeling financial time series? Best Answer I recommend R (see the time series view on CRAN). Some useful references: Econometrics in R, by Grant Farnsworth Multivariate time series modelling in R
I am trying to understand why should there be different distribution for t-statistic, in case of AR model, Dickey-Fuller test For e.g. Say, the model is $Y_t = beta_lY_{t-1} + varepsilon_{t}$. Why should I not use Simple linear regression model like $y_i = beta_0 + beta_1x_i+epsilon_i$, where $x_i = Y_{t-1} $ and $y_i = Y_t$, … Read more
I've just started getting into cointegration testing in R using the "urca" and "tseries" packages last week and am still very confused about the different arguments, despite having read the manuals. This is of concern as my cointegration tests have so far yielded "no cointegration" results, when I know intuitively that my series should co-integrate … Read more
If you can measure a time series of observations at any level of precision in time, and your goal of the study is to identify a relationship between X and Y, is there any empirical justification for choosing a specific level of aggregation over another, or should the choice be simply taken based on theory … Read more
I often deal with reasonable sized amount of time series data, 50-200 million doubles with associated time stamps and would like to visualize them dynamically. Is there existing software to do this effectively? How about libraries and data formats? Zoom-cache is one example of library focusing on large time series. In Zoom-cache the data is … Read more
I am working on time series to forecast the number of inbound calls for next 1 month on a daily basis. I built a model using auto.arima and forecasted. My forecasting data is showing gradually increasing no. of calls irrespective of holiday or weekend. (I have data for 2 months Aug-1-2016 to Dec-31- 2016. Here … Read more