Time Series Models

RUNNING HEAD: TIME SERIES MODELS 0
TIME SERIES MODELS

TIME SERIES MODELS 1
Table of Contents
Introduction................................................................................................................................2
Time series models.....................................................................................................................2
Autoregressive integrated moving average............................................................................3
Moving average model...........................................................................................................3
Vector auto regression............................................................................................................3
Nonlinear autoregressive exogenous model...........................................................................3
Distributed lag model.............................................................................................................3
Autoregressive fractionally integrated moving average.........................................................3
Application and assumption.......................................................................................................3
Autoregressive integrated moving average............................................................................4
Moving average model...........................................................................................................4
Vector auto regression............................................................................................................4
Nonlinear autoregressive exogenous model...........................................................................4
Distributed lag model.............................................................................................................5
Autoregressive fractionally integrated moving average.........................................................5
Conclusion..................................................................................................................................5
Bibliography...............................................................................................................................6

TIME SERIES MODELS 2
Introduction
A primary time series is a pattern of the points of data which graph in the time order.
Mainly it is concerned with the sequence pointed at the successive equally points on time.
Thus, it is an arrangement of the discrete data.
Primary time series are very rare plotted via line graphs. The use of the times series is
in figures, signal handling, pattern response, econometrics, calculated economics, weather
predicting (Rao, 2012).
Primary time series enquiry consists of the approaches, which are, used for the
analysing time series statistics in reference to extract the features of the data and other
meaningful data. Time series forecasting can be used as the model of the time series for
predicting the future based on the value which is based on the previously observed value.
This paper will give the theoretical knowledge about time series models and their
applicability with assumptions.
Time series models
These models are very valuable models when anyone have serially connected data.
Most the corporate houses effort on time series data to examine sales amount for the next
year, website traffic, competition place and much more. Though, it is also one of the parts,
which many forecasters do not comprehend.