Project Description:
I need to write literature about forecasting time series models(minimum 10 pages maximum 15 pages) including:
Forecasting
Time series (the nature of time series data, stationary, non stationary,white noise, linear time series, nonlinear time series)
Naive forecasting
Linear regression
Polynomial regression
Exponential smoothing:
Single exponential smoothing
Double exponential smoothing
Moving average
2period moving average
4period moving average
ARIMA "Auto regressive integrated moving average"
Fractional Auto Regressive Integrated Moving Average (FARIMA) model
Kalman filter
Minimum mean square error
Related work"summaries at least 5 papers"
using IEEE template for LaTex. Page count not inclusive of templates and figures. Using at least 10 references, I will provide at least 5 references...
avoid plagiarism, Do not copy paste text passages without quoting the author
