## What is the difference between X-12-ARIMA and X-13ARIMA-SEATS?

## What is the X-12-ARIMA program?

- One of the main enhancements in the
**X**-12-**ARIMA**program involves the use of a regARIMA model, a regression model with**ARIMA**(autoregressive integrated moving average) errors. Thus, the**X**-12-**ARIMA**program contains methods developed by both the US Census Bureau and Statistics Canada.

## How to perform X13-ARIMA analysis for monthly or quarterly data?

- Perform x13-
**arima**analysis for monthly or quarterly data. The series to model. It is best to use a pandas object with a DatetimeIndex or PeriodIndex. However, you can pass an array-like object. If your object does not have a dates index then start and freq are not optional.

## How do I rename X-13ARIMA-SEATS?

- If you downloaded X-13ARIMA-SEATS, you’ll need to rename the x13as.exe file to x12a.exe. If you downloaded X-12-ARIMA, no need to change any filenames. The sax12 package was technically designed to work with X-12-ARIMA and so looks for that particular program.

## What is the difference between X-12-ARIMA and X-11?What is the difference between X-12-ARIMA and X-11?

The four major components of the X-12-ARIMA program are regARIMA modeling, model diagnostics, seasonal adjustment that uses enhanced X-11 methodology, and post-adjustment diagnostics. Statistics Canada’s X-11 method ﬁts an ARIMA model to the original series, and then uses the model forecasts to extend the original series.

## Where can I find the source code for X-13-ARIMA-seats?Where can I find the source code for X-13-ARIMA-seats?

X-13-ARIMA-SEATS's source code can be found on the Census Bureau's website. The default method for seasonal adjustment is based on the X-11 algorithm. It is assumed that the observations in a time series,

## How to perform X13-ARIMA analysis for monthly or quarterly data?How to perform X13-ARIMA analysis for monthly or quarterly data?

Perform x13-arima analysis for monthly or quarterly data. The series to model. It is best to use a pandas object with a DatetimeIndex or PeriodIndex. However, you can pass an array-like object. If your object does not have a dates index then start and freq are not optional.

## How to return forecasts of the ARIMA model as time series?How to return forecasts of the ARIMA model as time series?

For example, the following command returns the forecasts of the ARIMA model as a "ts" time series: Because the forecast.save = "forecasts" argument has not been specified in the model call, series re-evaluates the call with the 'forecast' spec enabled.