This article shows, using R software, how to seasonally adjust a time series using the X13-ARIMA-SEATS program and the seasonal package developed by Christoph Sax. In addition to presenting step-by-step seasonal adjustment, the article also explores how to analyze the program output and how to forecast the original and seasonally adjusted time series. A case study was proposed using the Brazilian industrial production. It was verified that the effect of Carnival, Easter and working days improved the seasonal adjustment when treated by the model
Seasonal adjustment (SA) is an important method for the analysis of short term statistics. The two l...
This book explores widely used seasonal adjustment methods and recent developments in real time tren...
This book explores widely used seasonal adjustment methods and recent developments in real time tren...
The X-12-ARIMA seasonal adjustment program of the US Census Bureau extracts the different components...
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 adjustment and trend extract...
There have been three primary methods in the world of seasonal adjustment. The first one is the X-12...
This is a brief survey of the existing seasonal adjustment methods. We first discuss the problem of ...
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...
This paper will give the latest developments in two ongoing software projects. One is a joint collab...
This thesis deals with the issue of seasonal adjustment of economic time series and their subsequent...
Os programas X-ll c X-ll-ARIMA sao ll.mplamente utilizaclos para re alizar ajuste sazonal de series ...
In collaboration with the current developers of the SEATS seasonal adjustment program, an experiment...
This is a brief survey of the existing seasonal adjustment methods. We first discuss the problem of ...
Seasonal adjustment (SA) is an important method for the analysis of short term statistics. The two l...
This book explores widely used seasonal adjustment methods and recent developments in real time tren...
This book explores widely used seasonal adjustment methods and recent developments in real time tren...
The X-12-ARIMA seasonal adjustment program of the US Census Bureau extracts the different components...
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 adjustment and trend extract...
There have been three primary methods in the world of seasonal adjustment. The first one is the X-12...
This is a brief survey of the existing seasonal adjustment methods. We first discuss the problem of ...
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...
This paper will give the latest developments in two ongoing software projects. One is a joint collab...
This thesis deals with the issue of seasonal adjustment of economic time series and their subsequent...
Os programas X-ll c X-ll-ARIMA sao ll.mplamente utilizaclos para re alizar ajuste sazonal de series ...
In collaboration with the current developers of the SEATS seasonal adjustment program, an experiment...
This is a brief survey of the existing seasonal adjustment methods. We first discuss the problem of ...
Seasonal adjustment (SA) is an important method for the analysis of short term statistics. The two l...
This book explores widely used seasonal adjustment methods and recent developments in real time tren...
This book explores widely used seasonal adjustment methods and recent developments in real time tren...