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Edit: I would like to refer you to my new and more specific question: Edited: Choice between forecasting models

I'm researching forecasting models. Since I have data that has both a trend and seasionality and is caused by other variables, I would like to describe a model that combines Time Series Models and Causal Models. However, I can't seem to find models that combine those two. What are models for me to look at?

The following models are models that I already described:

• Moving Average
• Weighted Moving Average
• Exponential smoothing
• Single lineair regression
• Method of Holt
• Method of Pegels
• Seasonal Naïve Method
• Method of Holt-Winters
• Multiple Lineair Regression

Edit: I would like to refer you to my new and more specific question: Edited: Choice between forecasting models

I'm researching forecasting models. Since I have data that has both a trend and seasionality and is caused by other variables, I would like to describe a model that combines Time Series Models and Causal Models. However, I can't seem to find models that combine those two. What are models for me to look at?

The following models are models that I already described:

• Moving Average
• Weighted Moving Average
• Exponential smoothing
• Single lineair regression
• Method of Holt
• Method of Pegels
• Seasonal Naïve Method
• Method of Holt-Winters
• Multiple Lineair Regression

I'm researching forecasting models. Since I have data that has both a trend and seasionality and is caused by other variables, I would like to describe a model that combines Time Series Models and Causal Models. However, I can't seem to find models that combine those two. What are models for me to look at?

The following models are models that I already described:

• Moving Average
• Weighted Moving Average
• Exponential smoothing
• Single lineair regression
• Method of Holt
• Method of Pegels
• Seasonal Naïve Method
• Method of Holt-Winters
• Multiple Lineair Regression

Edit: I would like to refer you to my new and more specific question: Edited: Choice between forecasting models

I'm researching forecasting models. Since I have data that has both a trend and seasionality and is caused by other variables, I would like to describe a model that combines Time Series Models and Causal Models. However, I can't seem to find models that combine those two. What are models for me to look at?

The following models are models that I already described:

• Moving Average
• Weighted Moving Average
• Exponential smoothing
• Single lineair regression
• Method of Holt
• Method of Pegels
• Seasonal Naïve Method
• Method of Holt-Winters
• Multiple Lineair Regression

I'm researching forecasting models. Since I have data that has both a trend and seasionality and is caused by other variables, I would like to describe a model that combines Time Series Models and Causal Models. However, I can't seem to find models that combine those two. What are models for me to look at?

 

The following models are models that I already described:

• Moving Average
• Weighted Moving Average
• Exponential smoothing
• Single lineair regression
• Method of Holt
• Method of Pegels
• Seasonal Naïve Method
• Method of Holt-Winters
• Multiple Lineair Regression

I'm researching forecasting models. Since I have data that has both a trend and seasionality and is caused by other variables, I would like to describe a model that combines Time Series Models and Causal Models. However, I can't seem to find models that combine those two. What are models for me to look at?

The following models are models that I already described:

• Moving Average
• Weighted Moving Average
• Exponential smoothing
• Single lineair regression
• Method of Holt
• Method of Pegels
• Seasonal Naïve Method
• Method of Holt-Winters
• Multiple Lineair Regression