Time Series Analysis Help
Time series analysis is the study of analyzing and making predictions of future events based on trend data. The trend data is analyzed using various moving average models to estimate future trends. Trends may be linearor non-linear in nature requiring different statistical methodologies for analysis.
We provide comprehensive Time Series Analysis tutoring for statistics students including the following Time Series Analysis topics:
- Autoregressive Integrated Moving Average
- ARIMA Models
- Box-Jenkins
- Causality Analysis
- Causal Modeling
- Cyclical Fluctuations
- Durbin-Watson Test
- Econometrics
- Exponential Smoothing
- Exponential Trends
- Heteroscedasticity
- Holt’s Linear Exponential Smoothing
- Invertibility
