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Time series are data observed over time (either in continuous time or at discrete time periods).

1 vote
2 answers
42 views

logic of stationary property?

I am extremely puzzled... In textbooks I read that the "stationary property" is having the same statistical properties, in two chunks of my time series. I do not understand... How can I possibly chec …
Chicago1988's user avatar
0 votes
0 answers
15 views

how to get autocorrelation 0, when?

I am a newbie in time series and I understood negative autocorrelation through this example http://www.pmean.com/09/NegativeAutocorrelation.html If you are looking at the amount of time a doctor s …
Chicago1988's user avatar
2 votes
1 answer
133 views

How to interpret PACF?

I learned ACF as correlation. For me, this is clearly seen in monthly weather data: where, I see the ACF between consequent months as 'high', meaning july temperature is going to be similar to august …
Chicago1988's user avatar
2 votes
1 answer
79 views

How to interpret regression in a time series context?

I am a newbie in stats and I have a hard time grasping regression in the context of time series, while reading "Time series analysis and its applications" by Robert H. Shumway; I came across: When …
Chicago1988's user avatar
1 vote
1 answer
1k views

Why autocovariance is 0?

First of all I am a newbie in stats, trying to study statistics, and somehow I find 'time series' way more difficult than other topics. I am confused with the “autocovariance”. In the book "Time seri …
Chicago1988's user avatar
2 votes
1 answer
743 views

How to detrend exponential time series in R?

I am on my early stages of learning detrending. In R, when I see a linear trend, I use diff() function. Which, if I had the time series in a sheet of paper, I see it like "flipping the paper". I chec …
Chicago1988's user avatar
1 vote
0 answers
162 views

Real life use of acf and pacf

I understood ACF usefulness, with a temperature example... If we have a temperature time series, it is useful to know (for example) how correlated the temperature of past month is with this month. Bu …
Chicago1988's user avatar
0 votes
0 answers
605 views

logic of autocovariance in time series

I am confused with the “autocovariance” in time series. In textbooks it says that it: “measures the linear dependence between two points on the same series observed at different times”. Why “two poin …
Chicago1988's user avatar
1 vote
1 answer
715 views

Why we do acf on residuals?

In the book "Time series analysis" by Shumway. He is doing fit = lm(chicken~time(chicken), na.action=NULL) acf(resid(fit), 48, main="detrended") What is the point of doing acf on residuals? I do …
Chicago1988's user avatar
8 votes
1 answer
11k views

Shall we use log(diff(x)) or diff(log(x))?

I am starting to learn time series and when detrending I always end up with the same doubt... Generally, I use diff() for, let's say there is an upward trend like inflation... and I use log() to stab …
Chicago1988's user avatar
4 votes
1 answer
5k views

what means to be outside unit circle?

I am trying to study time series without a great math background and I came across the next problem: When checking for stationarity I check the roots, and if they are not on the unit circle, then it …
Chicago1988's user avatar