Kernel Density Estimation (KDE) Plot
In this tutorial, we’ll carry on the problem of probability density function inference, but using another method: Kernel Density Estimation.
November 2, 2016
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 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.
Discover how the ADF Stationary Test checks for stationarity in time series data. NumXL’s blog provides a detailed explanation and examples.
There are several block sites that are using our name NumXL and offering a free cracked version of our software. Those sites are not affiliated with NumXL and often times their downloads contain malware and viruses that can harm your machine.
In addition to the student discount, NumXL now offers classroom site licenses. NumXL has several different pricing options to suit your needs regardless of classroom
Mac users can use NumXL by installing a virtualization software to run Windows on a Mac.
Windows XP, Windows Vista, Windows 7, Windows 8, Windows 10 or later is required to run NumXL.
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