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.
In this issue, we tackle a simple yet powerful functionality in NumXL: Interpolation. First, using an example, we present key concepts and methods of interpolations (e.g., step, linear, cubic spline), followed by frequently asked questions about interpolation.
In this article, we discuss how to use quarterly data with X13ARIMA-SEATS and tackle some of the ambiguities that can arise.
In this article, we show you how to backtest on the X-13ARIMA-SEATS forecast of seasonally-adjusted and final values in your time series.
This article covers NxLOCREG(.) and NxKREG(.), two different functions for non-parametric data fitting.
Check out our latest Technical Notes article, an overview of stationarity and a deep dive into the DF and ADF tests
This article introduces the RMNA(.) function, a simple yet powerful tool for handling datasets with missing values
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