Removing Missing Values (RMNA)
This article introduces the RMNA(.) function, a simple yet powerful tool for handling datasets with missing values
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.
This article introduces the RMNA(.) function, a simple yet powerful tool for handling datasets with missing values
This paper introduces the unbiased cross-validation (UCV) optimization method, a popular data-based bandwidth selection for KDE.
NumXL 1.66 PARSON is reaching the natural end of its life cycle. We will stop supporting it by December 31st, 2022.
This paper introduces the Direct Plug-in, a popular KDE bandwidth calculation used for a broad set of cases.
This article introduces the univariate kernel density estimation (KDE) method for estimating the probability density function of a random variable.
Update: New perpetual licenses will no longer include auto-renewal of premier support after a 12-month trial period.
© 2024 Spider Financial Corp | | Terms & Conditions | Disclaimer | Privacy Policy | Trademarks & Copyrights