.

.
.

Monday 24 December 2012

Time Series

TIME SERIES ANALYSIS Introduction Economic and business season serial outline is a major field of research and application. This abbreviation method has been used for economic forecasting, sales forecasting, stock commercialise analysis and company internal control. In this paper, we will tittle-tattle about date series and review techniques that are utilizable for analyzing season series data. Definition of succession Series and quantify Series Analysis clock series is an roamed era of set of a variable at equally spaced time intervals. Time series data often arise when supervise industrial processes or tracking corporate business metrics. The analysis of time series is based on two raw material assumptions. One is successive prys in the data send represent consecutive measurements taken at equally spaced time intervals. The other assumption is that time is the only ace independent variable in time series function. Applications of Time Series Models Identify the nature of the phenomenon delineate by the sequence of observations, and Fit a model and proceed to forecasting, monitoring or even feedback and feedforward control. Both of these goals require that the pattern of observed time series data is determine and described. Once the pattern is established, we terminate interpret and integrate it with other data and use the identified pattern to predict future events.
Ordercustompaper.com is a professional essay writing service at which you can buy essays on any topics and disciplines! All custom essays are written by professional writers!
Decomposition Analysis of Time Series In order to identify patterns that appear simultaneously in a time series, we use decomposition analysis to single out and decompose different influences or components out of the raw data,. In general, there are four types of components in time series analysis: trend, seasonal variation, cyclical variation and irregular variation. Thus, the value of the time series Y can be represented by the following equations: Yt = Tt * St* Ct *It or Yt = Tt +St +Ct +It Where Yt = Actual value of the data in the time series at time t Tt = Trend value at time... If you want to get a full essay, order it on our website: Ordercustompaper.com

If you want to get a full essay, wisit our page: write my paper

No comments:

Post a Comment