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Regression analysis : understanding and building business and economic models using Excel

著者: J Holton Wilson; Barry P Keating; Mary Beal-Hodges; Business Expert Press.
出版商: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012.
丛书: 2012 digital library.; Quantitative approaches to decision making collection.; Business Expert Press digital library.
版本/格式:   电子图书 : 文献 : 英语 : 1st ed查看所有的版本和格式
数据库:WorldCat
提要:
This book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. It is especially useful for those engaged in working with numbers - preparing forecasts, budgeting,  再读一些...
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类型/形式: Electronic books
附加的形体格式: Print version:
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: J Holton Wilson; Barry P Keating; Mary Beal-Hodges; Business Expert Press.
ISBN: 9781606494356 160649435X
OCLC号码: 808991411
注意: Title from PDF title page (viewed August 29, 2012).
Part of: 2012 digital library.
Includes index.
描述: 1 online resource (179 pages).
内容: 1. Background issues for regression analysis --
2. Introduction to regression analysis --
3. The ordinary least squares (OLS) regression model --
4. Evaluation of ordinary least squares (OLS) regression models --
5. Point and interval estimates from a regression model --
6. Multiple linear regression --
7. A market share multiple regression model --
8. Qualitative events and seasonality in multiple regression models --
9. Nonlinear regression models --
10. Abercrombie & amp; Fitch Co. regression case study --
11. The formal ordinary least squares (OLS) regression model --
Appendix. Some statistical background --
Index.
丛书名: 2012 digital library.; Quantitative approaches to decision making collection.; Business Expert Press digital library.
责任: J. Holton Wilson, Barry P. Keating, and Mary Beal-Hodges.

摘要:

Covers elements of building and understanding regression models within the context of business and economics. This book is useful for business professionals, MBA students and others who seek to  再读一些...

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