I'm very new to statistics, and I have a problem that may or may not exactly be considered a time series analysis problem. I have a large set of vehicle location measurements (x0, y0)...(xt, yt) taken over time measurements 0...t, and I would like to be able to predict the location at time t+1. The issue is, the differences between consecutive measurements aren't exactly equal; each is ~15 seconds, but can range from 14-16 seconds. Could this still be considered a time series analysis problem, or will certain methods fail when the delta of time isn't constant?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.