Monday, March 19, 2018

Stationarity In Time Series


1-      Stationarity keeps the correlation constant.
2-      Stationary processes avoid the problem of spurious regression
3-      Stationary process simplifies law of large numbers and allows to apply central limit theorem.
4-      (X / Y) stationary, if the sample period is long than Compounded rate of growth of X approaches compounded rate of growth of Y.
5-      Auto Correlation to make sense, the series must be a weakly stationary series.
  Details Follow:
https://drive.google.com/open?id=1EW0oDCRlYoRJOe9ygVMuB-5WJZH57HFa

No comments:

R3 chase - Pursuit

Detecting Outliers Using Medcouple – A Simple, Robust Approach

Python Implementation along with Required Files: https://drive.google.com/drive/folders/1i6ZN3noeTN9MCDk8fqbA1RndzV1L49dh?usp=drive_link Ris...