User IrishStat

5 votes

Accepted

Use ACF and PACF for irregular time series?

answered Aug 10, 2015 at 11:31

5 votes

Accepted

Multiple ARIMA models fit data well. How to determine order? Correct approach?

answered Jul 19, 2015 at 21:20

5 votes

Accepted

How can I recognize when I must apply "log transformation"?

answered Aug 4, 2015 at 9:48

5 votes

How to interpret and do forecasting using tsoutliers package and auto.arima

answered Aug 26, 2015 at 13:23

5 votes

Is it ok to drop the constant term?

answered Sep 22, 2015 at 12:38

5 votes

Accepted

How to model timeseries with unequally-spaced seasonality interval

answered Oct 22, 2016 at 15:34

5 votes

Accepted

Advice on correcting for seasonality in data

answered Nov 9, 2018 at 20:43

5 votes

Accepted

Can a Moving Average be used as a dependent variable in a regression model?

answered Dec 8, 2014 at 14:53

5 votes

Data mining techniques in R for advertising and sales data

answered Apr 12, 2014 at 18:03

5 votes

what if the residual series from arima() not looks normal?

answered May 6, 2014 at 14:02

5 votes

auto.arima and prediction

answered Aug 30, 2013 at 22:10

5 votes

How to correct outliers once detected for time series data forecasting?

answered Sep 13, 2013 at 23:43

5 votes

What are disadvantages of using the lasso for variable selection for regression?

answered Nov 27, 2013 at 12:14

5 votes

How to compare two time series?

answered Jan 25, 2013 at 18:19

5 votes

Accepted

Forecasting nonstationary time series

answered Dec 20, 2012 at 20:51

5 votes

STL on time series with missing values for anomaly detection

answered Aug 21, 2012 at 19:19

5 votes

How to model and make predictions on time series data in R?

answered Dec 15, 2016 at 23:55

5 votes

Accepted

How to find similarities between time series?

answered Jul 17, 2012 at 12:20

5 votes

auto.arima warns NaNs produced on std error

answered Apr 24, 2012 at 17:27

5 votes

How would you fit ARIMA model with lots of autocorrelations?

answered Apr 29, 2012 at 12:28

5 votes

Accepted

What common forecasting models can be seen as special cases of ARIMA models?

answered Feb 29, 2012 at 13:22

5 votes

Seasonally adjusted month-to-month growth with underlying weekly seasonality

answered Feb 21, 2012 at 22:50

5 votes

What "more" does differencing (d>0) do in ARIMA than detrend?

answered Sep 14, 2011 at 2:47

5 votes

What method can be used to detect seasonality in data?

answered Sep 27, 2011 at 18:36

5 votes

Can I trust a regression if variables are autocorrelated?

answered Dec 4, 2011 at 19:26

5 votes

When to log transform a time series before fitting an ARIMA model

answered Feb 23, 2011 at 13:29

5 votes

Cross-validating time-series analysis

answered Mar 27, 2011 at 1:49

5 votes

Accepted

How to calculate the p-value of parameters for ARIMA model in R?

answered Mar 28, 2011 at 9:36

5 votes

Accepted

What's the best formula to fit the distribution of website user number over a day

answered Jun 3, 2011 at 10:32

5 votes

What is the term for a time series regression having more than one predictor?

answered Mar 24, 2011 at 23:59

Stack Exchange Network

1,508 Answers

Use ACF and PACF for irregular time series?

Multiple ARIMA models fit data well. How to determine order? Correct approach?

How can I recognize when I must apply "log transformation"?

How to interpret and do forecasting using tsoutliers package and auto.arima

Is it ok to drop the constant term?

How to model timeseries with unequally-spaced seasonality interval

Advice on correcting for seasonality in data

Can a Moving Average be used as a dependent variable in a regression model?

Data mining techniques in R for advertising and sales data

what if the residual series from arima() not looks normal?

auto.arima and prediction

How to correct outliers once detected for time series data forecasting?

What are disadvantages of using the lasso for variable selection for regression?

How to compare two time series?

Forecasting nonstationary time series

STL on time series with missing values for anomaly detection

How to model and make predictions on time series data in R?

How to find similarities between time series?

auto.arima warns NaNs produced on std error

How would you fit ARIMA model with lots of autocorrelations?

What common forecasting models can be seen as special cases of ARIMA models?

Seasonally adjusted month-to-month growth with underlying weekly seasonality

What "more" does differencing (d>0) do in ARIMA than detrend?

What method can be used to detect seasonality in data?

Can I trust a regression if variables are autocorrelated?

When to log transform a time series before fitting an ARIMA model

Cross-validating time-series analysis

How to calculate the p-value of parameters for ARIMA model in R?

What's the best formula to fit the distribution of website user number over a day

What is the term for a time series regression having more than one predictor?