ARIMA Insights

What is ARIMA?

ARIMA (Autoregressive Integrated Moving Average) is a statistical analysis model that uses time series data to predict future points in the series. It is commonly used for forecasting in various fields like economics, finance, and sales by identifying patterns and trends within the data.

Find organizations using ARIMA on Sumble →

What other technologies are related to ARIMA?

ARIMA Competitor Technologies

SARIMA

SARIMA extends ARIMA to handle seasonality in time series data, making it a competitor for time series forecasting.

mentioned alongside ARIMA in 88% (209) of relevant job posts

exponential smoothing

Exponential smoothing methods are alternative time series forecasting techniques that use weighted averages of past observations, competing with ARIMA.

mentioned alongside ARIMA in 88% (163) of relevant job posts

ARIMAX

ARIMAX extends ARIMA to include exogenous variables, making it a competitor when external factors influence the time series.

mentioned alongside ARIMA in 69% (80) of relevant job posts

Prophet

Prophet is a time series forecasting procedure with handling seasonality and holiday effects, making it a competitor.

mentioned alongside ARIMA in 7% (398) of relevant job posts

LSTM

LSTMs are a type of recurrent neural network capable of learning long-term dependencies making it a competitor for time series forecasting.

mentioned alongside ARIMA in 8% (304) of relevant job posts

LSTMs

LSTMs are a type of recurrent neural network capable of learning long-term dependencies making it a competitor for time series forecasting.

mentioned alongside ARIMA in 10% (116) of relevant job posts

Linear Regression

Linear regression can be used for time series forecasting when there is a linear trend in the data.

mentioned alongside ARIMA in 6% (197) of relevant job posts

Random Forest

Random Forest can be adapted for time series forecasting tasks, making it a competitor for ARIMA.

mentioned alongside ARIMA in 5% (230) of relevant job posts

ARIMA Complementary Technologies

statsmodels

Statsmodels is a Python library that provides classes and functions for estimating and testing statistical models, including ARIMA. It is complementary by providing tools and implementations useful for ARIMA models.

mentioned alongside ARIMA in 4% (88) of relevant job posts

scikit-learn

Scikit-learn is a machine learning library in Python providing tools for model evaluation, selection, and other utilities useful in developing ARIMA models or comparing with other models.

mentioned alongside ARIMA in 0% (412) of relevant job posts

Pandas

Pandas is a Python data analysis library used for managing and manipulating time series data, making it complementary.

mentioned alongside ARIMA in 0% (328) of relevant job posts