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Vendeur AbeBooks depuis 7 avril 2005
New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9781606494349
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. This book will teach you the essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The authors take a non-theoretical treatment that is accessible even if you have a limited statistical background. It is specifically designed to teach the correct use of regression, while advising you of its limitations and teaching about common pitfalls. This book describes exactly how regression models are developed and evaluated -where real data is used, instead of contrived textbook-like problems. Completing this book will allow you to understand and build basic business/economic models using regression analysis. You will be able to interpret the output of those models and you will be able to evaluate the models for accuracy and shortcomings. Even if you never build a model yourself, at some point in your career it is likely that you will find it necessary to interpret one; this book will make that possible. Included are instructions for using Microsoft Excel to build business/economic models using regression analysis with an appendix using screen shots and step-by-step instructions.
À propos de l?auteur: Dr. J. Holton Wilson is professor emeritus in Marketing at Central Michigan University. He has a BA in both economics and chemistry from Otterbein College, an MBA from Bowling Green State University (statistics), and a PhD from Kent State University (majors in both marketing and economics).
Titre : Regression Analysis: Understanding and ...
Éditeur : McGraw-Hill Education
Date d'édition : 2012
Reliure : PAP
Etat : New
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Etat : Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00095330402
Quantité disponible : 1 disponible(s)
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G1606494341I4N00
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 18029510-n
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Etat : New. N° de réf. du vendeur ABLIING23Mar2811580119394
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Vendeur : suffolkbooks, Center moriches, NY, Etats-Unis
paperback. Etat : Very Good. Fast Shipping - Safe and Secure 7 days a week! N° de réf. du vendeur 3TWOWA002A8U
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 18029510
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Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
Paperback or Softback. Etat : New. Regression Analysis: Understanding and Building Business and Economic Models Using Excel. Book. N° de réf. du vendeur BBS-9781606494349
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9781606494349
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Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
Paperback. Etat : New. This book covers essential elements of building and understanding regression models within the context of business and economics. It is a nonmathematical treatment that is accessible, even to readers with limited statistical backgrounds. It is useful for business professionals, MBA students and others who seek to understand regression analysis without having to work through tedious mathematical and statistical theory. The importance of using regression models in modern business and economic analysis can hardly be overstated. In this book we describe exactly how such models can be developed and evaluated. The data used is real data with real world business applications, not data that has been contrived to demonstrate some purely academic point. These data are likely to be encountered and used in the actual world of business. In an appendix using screen shots and step by step instructions, we include how to do use Excel to perform regression analysis. When readers have completed this book they will understand how to build basic mathematical models illustrating business/economic relationships using regression analysis. In addition, they will know how to interpret and evaluate regression models using a five step process (which includes evaluating the model; identifying its statistical significance; determining its explanatory power; for time-series applications, identifying how the error terms are distributed; and understanding the concept of multicollinearity). Readers will understand what is possible and what to look for in evaluating regression models. It is unlikely that most readers will build such models in the course of carrying out their own professional responsibilities, but it is very likely that they will, at some point in their careers, be exposed to such models. This book will help such readers understand models that someone else has developed. N° de réf. du vendeur LU-9781606494349
Quantité disponible : Plus de 20 disponibles
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Paperback. Etat : New. This book covers essential elements of building and understanding regression models within the context of business and economics. It is a nonmathematical treatment that is accessible, even to readers with limited statistical backgrounds. It is useful for business professionals, MBA students and others who seek to understand regression analysis without having to work through tedious mathematical and statistical theory. The importance of using regression models in modern business and economic analysis can hardly be overstated. In this book we describe exactly how such models can be developed and evaluated. The data used is real data with real world business applications, not data that has been contrived to demonstrate some purely academic point. These data are likely to be encountered and used in the actual world of business. In an appendix using screen shots and step by step instructions, we include how to do use Excel to perform regression analysis. When readers have completed this book they will understand how to build basic mathematical models illustrating business/economic relationships using regression analysis. In addition, they will know how to interpret and evaluate regression models using a five step process (which includes evaluating the model; identifying its statistical significance; determining its explanatory power; for time-series applications, identifying how the error terms are distributed; and understanding the concept of multicollinearity). Readers will understand what is possible and what to look for in evaluating regression models. It is unlikely that most readers will build such models in the course of carrying out their own professional responsibilities, but it is very likely that they will, at some point in their careers, be exposed to such models. This book will help such readers understand models that someone else has developed. N° de réf. du vendeur LU-9781606494349
Quantité disponible : Plus de 20 disponibles