Introduction to time-series modeling and forecasting in business and economics/ by Patricia E. Gaynor and Rickey C. Kirkpatrick

By:

Gaynor, Patricia E

Contributor(s):

Kirkpatrick, Rickey C

Material type: Text

TextPublication details: --New York: McGraww-Hill, Inc. c1994.Description: xxi, 607p. ill,; 23.3 cmISBN:

0-07-034913-4

DDC classification:

BCir. 658.40355 G256i 1994

Contents:

Contents I. Introduction to time-series analysis and forecasting --II. Building tools for time-series analysis: describing and transforming data --III. Modeling trend using regression analysis --IV. Exponential smoothing: updating regression-based --V. The decomposition method --VI. Updating seasonal models with winters' exponential smoothing --VII. Box-jenkins methodology-nonseasonal models --VIII. Box-jenkins methodology-seasonal models --IX. Multiple regression in time-series analysis: the casual model --X. Combining forecast methodologies and fine-tuning the forecast: judgmental factors in forecasting.

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Holdings
Item type	Home library	Call number	Status	Date due	Barcode
Bansalan Circulation1	UM Bansalan College LIC	BCir. 658.40355 G256i 1994 (Browse shelf(Opens below))	Available		1951

Includes references and index

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