^ 'X-13ARIMA-SEATS Seasonal Adjustment Program - US Census Bureau'.

^ 'BLS Handbook of Methods, Appendix A.

^ 'Seasonal adjustment and trend-cycle estimation'.

^ 'X-13 Toolbox for Seasonal Filtering'.

^ 'Implementation of the X-11 Seasonal Adjustment Method'.^ 'seasonal: R Interface to X-13-ARIMA-SEATS version 1.8.2 from CRAN'.

It is assumed that the observations in a time series, Y t : CS1 maint: uses authors parameter ( link) The default method for seasonal adjustment is based on the X-11 algorithm. X-13-ARIMA-SEATS's source code can be found on the Census Bureau's website. X-12-ARIMA was the successor to X-11-ARIMA the current version is X-13ARIMA-SEATS. The Brazilian Institute of Geography and Statistics uses X-13-ARIMA. Bureau of Labor Statistics and Census and Statistics Department (Hong Kong). Notable statistical agencies presently using X-12-ARIMA for seasonal adjustment include Statistics Canada, the U.S. X-12-ARIMA can be used together with many statistical packages, such as SAS in its econometric and time series (ETS) package, R in its (seasonal) package, Gretl or EViews which provides a graphical user interface for X-12-ARIMA, and NumXL which avails X-12-ARIMA functionality in Microsoft Excel. These methods are or have been used by Statistics Canada, Australian Bureau of Statistics, and the statistical offices of many other countries. X-13ARIMA-SEATS, successor to X-12-ARIMA and X-11, is a set of statistical methods for seasonal adjustment and other descriptive analysis of time series data that are implemented in the U.S. Public domain (in the US and copyright granted elsewhere)

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