The first part of this study summarizes and evaluates some new developments in time series analysis. They are identification methods, lack-of-fit tests, R-square, the aggregation issues, the causality tests, and multiple time series analysis. Methods are demonstrated and evaluated. Cautions in application are identified. / The second part of this study applies time series to the study of the interaction effect of price and advertising. The data are filtered by time series models. The residuals are then fitted by regression. Advertising is found to increase the effectiveness of price change. / Knowledge of the negative interaction effect is not enough to permit a marketing manager to find optimal strategy. A time series simulation algorithm is presented. The isoprofit plot developed should aid managers to make sound decisions. The value of time series simulation in finding optimal strategy, compared to other methods currently found in the literature, is discussed. / Source: Dissertation Abstracts International, Volume: 43-06, Section: A, page: 2025. / Thesis (D.B.A.)--The Florida State University, 1982.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_74837 |
| Contributors | HUANG, JEN-HUNG., Florida State University |
| Source Sets | Florida State University |
| Detected Language | English |
| Type | Text |
| Format | 276 p. |
| Rights | On campus use only. |
| Relation | Dissertation Abstracts International |
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