This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Add to Saved Citations Download to citation manager Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Mentzer, J. T. Search for Related Content Social Bookmarking                         What's this?

Forecasting with Adaptive Extended Exponential Smoothing

Virginia Polytechnic Institute and State University

Much of product level forecasting is based upon time series techniques. However, traditional time series fore casting techniques have offered either smoothing constant adaptability or consideration of various time series compo nents, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of level, trend, and seasonality and smoothing constant adaptability. Testing of this tech nique, managerial and research implications, and guide lines for use are also presented.

Journal of the Academy of Marketing Science, Vol. 16, No. 3, 62-70 (1988)
DOI: 10.1177/009207038801600309


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				J. T. Mentzer and R. Gomes Further Extensions of Adaptive Extended Exponential Smoothing and Comparison with the M-Competition Journal of the Academy of Marketing Science, September 1, 1994; 22(4): 372 - 382. [Abstract]