Applied regression analysis for business and economics

By:

Dielman, Terry E

Material type: Text

TextPublication details: Boston; PWS-KENT Pub.; 1991Description: 573 pISBN:

9780534922382

Subject(s):

Economics statistical methods

DDC classification:

330.01519536 DIE

Summary: This text takes an applied, modern approach to regression analysis by using real world data sets and extensive computer output to emphasize modelling, interpretation of results, and decision making rather than formulas and number crunching. Students do not need facility in matrix algebra to learn interpretation skills and the use of computer output in the exercises and problems, as matrix algebra is not used to develop the notation. Real world examples are used throughout the text to demonstrate practical use of methods, with data taken from such sources as Forbes, U.S. News and World Report and other journals. SAS and Minitab output for many examples and exercises is included.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Gandhi Smriti Library	330.01519536 DIE (Browse shelf(Opens below))	Available		54346

Total holds: 0

Browsing Gandhi Smriti Library shelves Close shelf browser (Hides shelf browser)

Previous	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available			No cover image available No cover image available	No cover image available No cover image available	Next
Previous	330.0151 ROS From catastrophe to chaos : a general theory of economic discontinuities	330.0151 SCH Mathematical methods in economics	330.015195 HAR Econometric analysis of time series	330.01519536 DIE Applied regression analysis for business and economics	330.016 INS V.2 Sixteen economic journals	330.018 BLA Methodology of economic or how economists explain	330.0182 HEB Applications of econometrics	Next

This text takes an applied, modern approach to regression analysis by using real world data sets and extensive computer output to emphasize modelling, interpretation of results, and decision making rather than formulas and number crunching. Students do not need facility in matrix algebra to learn interpretation skills and the use of computer output in the exercises and problems, as matrix algebra is not used to develop the notation. Real world examples are used throughout the text to demonstrate practical use of methods, with data taken from such sources as Forbes, U.S. News and World Report and other journals. SAS and Minitab output for many examples and exercises is included.

There are no comments on this title.

to post a comment.