Accession Number:

AD0735197

Title:

Statistical Models

Descriptive Note:

Annual rept. 1 Jun 1970-31-May 1971

Corporate Author:

WISCONSIN UNIV-MADISON DEPT OF STATISTICS

Personal Author(s):

Report Date:

1971-05-01

Pagination or Media Count:

8.0

Abstract:

Efficient planning requires efficient methods for forecasting and control. One of the objects of the present research is to further extend methods described in a recent successful 550 page book by Box and Jenkins developed under AFOSR sponsorship. Non-stationary models which can adequately represent multiple dependent records developing in time have been obtained and efficient methods for identification, estimation and diagnostic checking have been studied. Of particular importance are canonical forms of the model whereby the information cantained in many records can often be summarized in a few composite series. Difficult problems in estimation are being approached using Bayesian methods. Two problems occurring in continuous time control theory were studied and results obtained on the accuracy properties of numerical algorithms for solving them approximately. Some new results in Bayesian Tolerance Regions have been obtained.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE