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.
Great News! Spider has begun the beta testing phase of the upcoming NumXL version 1.63 (Shamrock), which supports new models (e.g. ARIMAi, SARIMAi, ARMAX and SARIMAXi) and a Monte-Carlo simulation functionality.
In an ongoing effort to fight spam, Spider Financial will no longer accept one-time (temporary/disposable) email addresses for any use: user’s account registration, license request,
After receiving several inquiries about the exponentially weighted moving average (EWMAi) function in NumXL, we decided to dedicate this issue to exploring this simple function in greater depth.
We are thrilled to announce the release of the latest version of NumXL: 1.62 (DEWDROP). In addition to many fixes, the new version includes a
This issue focuses on using the DFT components to represent the input data set as the sum of the trigonometric sine-cosine functions.
In this entry, we examine the Discrete Fourier Transform (DFT) and its inverse, as well as data filtering using DFT outputs.