ARMA Unplugged Tutorial
We’ve featured ARIMA models in a few of our tutorials before, but this week we’ll explore them in rich detail, starting with a clear definition of the process and moving on from there.
Read through the articles below to stay up to date with NumXL Pro and topics related to time series, statistics, modeling, forecasting, and many more.
We’ve featured ARIMA models in a few of our tutorials before, but this week we’ll explore them in rich detail, starting with a clear definition of the process and moving on from there.
NumXL 1.64 (Turret) is officially available for general public. NumXL 1.64 comes in with support for Spanish language and multiple enhancements to the installation and licensing processes.
Principal Component Analysis (PCA) simplifies modeling by transforming correlated variables into uncorrelated factors using NumXL in Excel.
This article continues the PCA in Excel series, examining dimension reduction from 5 PCs to 3 PCs without significant information loss.
In this tutorial, we’ll carry on the problem of probability density function inference, but using another method: Kernel Density Estimation.
Step-by-step guide to perform Johansen Cointegration Test and determine cointegration of non-stationary time series variables.
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