ARIMA
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Explore more → **ARIMA**
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.
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.
exponential smoothing
Exponential smoothing methods are alternative time series forecasting techniques that use weighted averages of past observations, competing with ARIMA.
ARIMAX
No summary available
ARIMAX extends ARIMA to include exogenous variables, making it a competitor when external factors influence the time series.
Prophet
Prophet is a time series forecasting procedure with handling seasonality and holiday effects, making it a competitor.
LSTM
LSTMs are a type of recurrent neural network capable of learning long-term dependencies making it a competitor for time series forecasting.
LSTMs
LSTMs are a type of recurrent neural network capable of learning long-term dependencies making it a competitor for time series forecasting.
Linear Regression
Linear regression can be used for time series forecasting when there is a linear trend in the data.
Random Forest
Random Forest can be adapted for time series forecasting tasks, making it a competitor for ARIMA.
Number of organizations that mention technology
563
ARIMA
113
SARIMA
80
exponential smoothing
43
ARIMAX
1,023
Prophet
1,196
LSTM
408
LSTMs
662
Linear Regression
1,677
Random Forest
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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.
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.
Pandas
Pandas is a Python data analysis library used for managing and manipulating time series data, making it complementary.
Number of organizations that mention technology
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Which job functions commonly mention ARIMA?
Data Scientist
0.3% of all Data Scientist jobs mention ARIMA
View 705
jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention ARIMA
View 102
jobs on Sumble
Data, Analytics & Machine Learning
0.1% of all Data, Analytics & Machine Learning jobs mention ARIMA
View 1k
jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention ARIMA
View 49
jobs on Sumble
Data Analyst
138 Data Analyst jobs mention ARIMA
View 138
jobs on Sumble
Which organizations are mentioning ARIMA?
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