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I have two questions: 1) When one says an ARMA process is 'stationary,' do they mean strongly stationary or weakly stationary? 2) Is there a quick way to find the...
Asked on 01/26/2021 by user369210
2 answerIn difference-in-differences (DID) analysis, it seems like a "folk theorem" that one should be very wary of adjusting for time-varying controls. The reason, eminently plausible, is that time-varying controls...
Asked on 01/26/2021
0 answerI wanted to do a sanity check. I want to remove the effect of structural breaks on my series. Therefore, I create a dummy with 1s for the period of...
Asked on 01/25/2021 by Kiril E. Proykov
1 answerMy dataset has clothes that contain features for every cloth. Let me show you the dataframe to understand. Every cloth...
Asked on 01/24/2021 by Oja Niva
0 answerWhat statistical analysis should I use when I have two or more continuous independent predictor variables and two or more dependent variables to be predicted? I cannot assume normal distribution....
Asked on 01/24/2021 by mephisto73
0 answerThe variables of interest are related by the following multivariate normal distribution:$$begin{bmatrix} x \ z_1 \ z_2end{bmatrix} sim mathcal{N}(begin{bmatrix} mu \ mu \ muend{bmatrix}, begin{bmatrix} sigma_{0}^2 & 0...
Asked on 01/23/2021 by Valjean
0 answerI have about 40 time series (40 products) of weekly sales for 3 years ( = 156 data points for each series). So, in total I have about 6240 data...
Asked on 01/23/2021 by tjt
1 answerLet $X$ denote the sum of dots we see in $100$ die rolls, and let $Y$ denote the number of heads in $600$ coin flips. How...
Asked on 01/23/2021 by user239903
5 answerI am a newbie on the site and a relative newbie to some of the analysis I am trying, so my apologies in advance for any rookie mistakes or for...
Asked on 01/22/2021
0 answerI'm trying to create a model where I can detect fraudulent customers who try to access a certain app, using their personal details like fist name, last name, email and...
Asked on 01/21/2021 by pooza
0 answerGet help from others!
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