SAS®'s PROC X11 is based on the Census Bureau's X-11 seasonal adjustment program written in the early 1960's. Future SAS/ETS® Versions will contain PROC X12, based on the Census Bureau's new X-12-ARIMA program, a publicly-available program used worldwide for time series modeling and seasonal adjustment. Major advances in X-12-ARIMA include 1) the ability to use regARIMA models—regression models with ARIMA errors, 2) a new user interface, and 3) new modeling and seasonal adjustment diagnostics, including graphics. This paper will briefly review some of the basic issues of seasonal adjustment and advances in X-12-ARIMA over X-11. I will focus on the diagnostics available in X-12-ARIMA, particularly the graphical diagnostic...
Recent years brought you SAS/STAT ® releases in rapid succession, and another release is targeted fo...
This is a brief survey of the existing seasonal adjustment methods. We first discuss the problem of ...
Disclaimer: This report is released to inform interested parties of research and to encourage discus...
The X-12-ARIMA seasonal adjustment program of the US Census Bureau extracts the different components...
The X-12-ARIMA software of the U.S. Census Bureau is one of the most popular methods for seasonal ad...
There have been three primary methods in the world of seasonal adjustment. The first one is the X-12...
This paper will give the latest developments in two ongoing software projects. One is a joint collab...
Before a series is seasonally adjusted, it should be shown that the series is seasonal. When using X...
Estimating seasonal indices is an important aspect of time series analysis. This paper presents an i...
Many published seasonally adjusted series are composites of individual seasonally adjusted series: ...
In collaboration with the current developers of the SEATS seasonal adjustment program, an experiment...
This article describes the EUROSTAT activities in the field of seasonal adjustment and trend extract...
seasonal is a powerful interface between R and X-13ARIMA-SEATS, the seasonal adjustment software dev...
This article describes the EUROSTAT activities in the field of seasonal ad-justment and trend extrac...
This article describes the EUROSTAT activities in the field of seasonal adjustment and trend extract...
Recent years brought you SAS/STAT ® releases in rapid succession, and another release is targeted fo...
This is a brief survey of the existing seasonal adjustment methods. We first discuss the problem of ...
Disclaimer: This report is released to inform interested parties of research and to encourage discus...
The X-12-ARIMA seasonal adjustment program of the US Census Bureau extracts the different components...
The X-12-ARIMA software of the U.S. Census Bureau is one of the most popular methods for seasonal ad...
There have been three primary methods in the world of seasonal adjustment. The first one is the X-12...
This paper will give the latest developments in two ongoing software projects. One is a joint collab...
Before a series is seasonally adjusted, it should be shown that the series is seasonal. When using X...
Estimating seasonal indices is an important aspect of time series analysis. This paper presents an i...
Many published seasonally adjusted series are composites of individual seasonally adjusted series: ...
In collaboration with the current developers of the SEATS seasonal adjustment program, an experiment...
This article describes the EUROSTAT activities in the field of seasonal adjustment and trend extract...
seasonal is a powerful interface between R and X-13ARIMA-SEATS, the seasonal adjustment software dev...
This article describes the EUROSTAT activities in the field of seasonal ad-justment and trend extrac...
This article describes the EUROSTAT activities in the field of seasonal adjustment and trend extract...
Recent years brought you SAS/STAT ® releases in rapid succession, and another release is targeted fo...
This is a brief survey of the existing seasonal adjustment methods. We first discuss the problem of ...
Disclaimer: This report is released to inform interested parties of research and to encourage discus...