scroll to top
Stuck on your essay?
Get ideas from this essay and see how your work stacks up
Word Count: 1,195
Classical Decomposition Method for Calloway Golf 1995-1999 For this paper I have gathered quarterly data on the sales of Calloway Golf Company from 1995 to the third quarter of 1999and will attempt to fit a time series model using the Classical Decomposition Method which uses a multifactor model shown below Yt fTCSe where Yt actual value of the time series at time t f mathematical function of T trend C cyclical influences S seasonal influences e error The trend component T in a time series is the long-run general movement caused by long-term economic demographic weather and technological movements The cyclical component C is an influence of about three to nine years caused by economic demographic weather and technological changes in an industry or economy The seasonal variations S are the result of weather and man-made conventions such as holidays These can occur every year month week or 24 hours The error term e is simply the residual component of a time series that is not explained by T C and S There are two general types of decomposition models that can be used They are the additive and multiplicative decomposition models Additive Y T C S e Multiplicative Y T C S e As you can see above the type of seasonality can be determined by looking at the plot of the data The determination of whether seasonal influences are additive or multiplicative is usually evident from the plot of the data but this is not the case with the data for Calloway as you can see from the first graph of the quarterly sales While it is my pretension that the seasonal influences for Calloway are multiplicative I will use both methods and compare the two models to determine which is a better
@Kibin is a lifesaver for my essay right now!!
- Sandra Slivka, student @ UC Berkeley
Wow, this is the best essay help I've ever received!
- Camvu Pham, student @ U of M
If I'd known about @Kibin in college, I would have gotten much more sleep
- Jen Soust, alumni @ UCLA