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

저자: J Holton Wilson; Barry P Keating; Mary Beal-Hodges
출판사: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012.
시리즈: 2012 digital library.; Quantitative approaches to decision making collection.
판/형식:   전자도서 : 문서 : 영어 : 1st ed모든 판과 형식 보기
데이터베이스:WorldCat
요약:
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,  더 읽기…
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장르/형태: Electronic books
추가적인 물리적 형식: Print version:
자료 유형: 문서, 인터넷 자료
문서 형식: 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: J Holton Wilson; Barry P Keating; Mary Beal-Hodges
ISBN: 9781606494356 160649435X
OCLC 번호: 808991411
메모: Title from PDF t.p. (viewed August 29, 2012).
Part of: 2012 digital library.
Includes index.
설명: 1 online resource (179 pages).
내용: 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.
일련 제목: 2012 digital library.; Quantitative approaches to decision making collection.
책임: J. Holton Wilson, Barry P. Keating, and Mary Beal-Hodges.

초록:

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  더 읽기…

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