Accession Number:

AD0611791

Title:

AN ANALYTICAL COMPARISON OF SEVERAL STATISTICAL TECHNIQUES FOR THE PREDICTION OF DEMAND.

Descriptive Note:

Master's thesis,

Corporate Author:

TEXAS TECHNOLOGICAL COLL LUBBOCK SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1965-05-01

Pagination or Media Count:

91.0

Abstract:

The purpose of this investigation was to compare three generally accepted statistical decision-making techniques with reference to their applicability to the problem of demand prediction. The three techniques are 1 a modified Bayesian Decision-Making procedure, 2 a modified C-Chart procedure, and 3 a Sequential Decision procedure which includes the use of the Likelihood-Ratio Test. The investigation was confined to the problem of demand prediction which is an integral part of the over-all problem of provisioning and inventory policies. Author

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE