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- [x] Augmented Dickey-Fuller (unit root)
- [ ] Phillips-Perron (unit root)
- [ ] KPSS (unit root)
- [ ] Shapiro-Wilks (normality)
- [x] Jaques-Berra (3rd and 4th moments for normality) (TimeModel…
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Another placeholder for future implementations. Any that overlap with StatsBase should be removed.
- [ ] Augmented Dickey-Fuller (unit root)
- [ ] Phillips-Perron (unit root)
- [ ] KPSS (unit root)
- …
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For arrays we'll have to take a period argument.
There is some code to deal with pandas freqs -> period already. Used in seasonal_decomp and more in the exponential smoothing PR.
Rarely used now: D…
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1) Algorithm of stationaryization of time series consists of the following:
- A log transformation of feature variables to make data as "normal" as possible and make the statistical analysis res…
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https://www.kaggle.com/code/satyavathig/time-series-forecasting-uninsured-claims
1. Data was checked for outliers using a Box plot, histogram, and IQR
2. Outliers were dropped from the data
3.…
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Hello, Sir!
After studying your code carefully, I would like to know if there is any way to get the p-value of rho_tau and rho_ols?
Hope to your relpy, thanks!
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[5:03 PM] Segal, Paul Warren
Doug, I've been playing around a bit more with Clearscape Experience, and have found some issues with some of the notebooks, some minor, and one serious enough to need th…
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Hi, I'm interested in performing an ADF test to confirm that my transformations ended up with a stationary time series.
I couldn't find a function to let me perform the test by itself, so I was wonde…
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I am writing a small package that does unit root tests on a time series. I was always saddened by the inconsistent framework of various `R` statistical tests so I thought how to do it right in case of…
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