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Editore: Business Expert Press (edition ), 2012
ISBN 10: 1606494341 ISBN 13: 9781606494349
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
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Editore: Business Expert Press 8/2/2012, 2012
ISBN 10: 1606494341 ISBN 13: 9781606494349
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Regression Analysis: Understanding and Building Business and Economic Models Using Excel. Book.
Editore: Business Expert Press 11/12/2015, 2015
ISBN 10: 1631573853 ISBN 13: 9781631573859
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
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Paperback. Condizione: 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.
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 24,07
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 19,93
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Aggiungi al carrelloPaperback. Condizione: Brand New. 179 pages. 8.75x6.00x0.50 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 22,84
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 194 pages. 9.00x6.00x0.25 inches. In Stock.
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 36,67
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 20,74
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 21,81
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Business Expert Press 2012-10-01, 2012
ISBN 10: 1606494341 ISBN 13: 9781606494349
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 22,47
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Editore: Business Expert Press 2015-12-11, 2015
ISBN 10: 1631573853 ISBN 13: 9781631573859
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 22,56
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 21,04
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.