Skip to main content

Abstract

This chapter covers the family of techniques known as time series analysis. These are a set of techniques which all make the same underlying assumption, which is that the only independent that needs to be considered is time. The use of time as a proxy variable to simplify the complexity that exists in reality results in methods that are arithmetically straightforward and simple for the beginner to use. It should also be borne in mind that even though some of the time series techniques are extremely simple, they are capable of yielding very accurate results, provided they are applied in the correct circumstances.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Authors

Copyright information

© 1985 Geoffrey A. Lancaster and Robert A. Lomas

About this chapter

Cite this chapter

Lancaster, G.A., Lomas, R.A. (1985). Objective techniques (time series). In: Forecasting for Sales and Materials Management. Macmillan Studies in Marketing Management. Palgrave, London. https://doi.org/10.1007/978-1-349-17851-3_4

Download citation

Publish with us

Policies and ethics