Business Applications of Multiple Regression
Seiten
2011
Business Expert Press (Verlag)
978-1-60649-231-4 (ISBN)
Business Expert Press (Verlag)
978-1-60649-231-4 (ISBN)
A basic understanding of multiple regression is helpful in carrying out good business practices—specifically in the areas of demand management and data analysis. Students and business readers will learn how to specify regression models that directly address their questions.
A basic understanding of multiple regression is helpful in carrying out good business practices--specifically in the areas of demand management and data analysis. This book on correlation and regression analysis will have a non-mathematical, applied, data-analytic approach.Readers will benefit from its practitioner language and frequent use of examples. Multiple regression is at the heart of business data analysis because it deals with explanations of why data behaves the way it does and correlations demonstrating this behavior.The applied emphasis of the book provides clear illustrations of these principles and offers complete examples of the types of applications that are possible, including how to arrive at basic forecasts when the absence of historical data makes more sophisticated forecasting techniques impossible, and how to carry out elementary data mining, which can be done using only Excel, without reliance on more specialized data mining software. Students and business readers will learn how to specify regression models that directly address their questions.
A basic understanding of multiple regression is helpful in carrying out good business practices--specifically in the areas of demand management and data analysis. This book on correlation and regression analysis will have a non-mathematical, applied, data-analytic approach.Readers will benefit from its practitioner language and frequent use of examples. Multiple regression is at the heart of business data analysis because it deals with explanations of why data behaves the way it does and correlations demonstrating this behavior.The applied emphasis of the book provides clear illustrations of these principles and offers complete examples of the types of applications that are possible, including how to arrive at basic forecasts when the absence of historical data makes more sophisticated forecasting techniques impossible, and how to carry out elementary data mining, which can be done using only Excel, without reliance on more specialized data mining software. Students and business readers will learn how to specify regression models that directly address their questions.
Dr. Ronny Richardson is chair of the Business Administration Department at Southern Polytechnic State University and a professor of Operations Management. His research and teaching interests are in the areas of operations management, statistics, project management, and computers. He is the author of 20 books and over 500 published articles. He has consulted with several major companies in the areas of production and inventory control. Prior to teaching, he was an executive for Georgia Power Company.
| Erscheint lt. Verlag | 16.10.2011 |
|---|---|
| Verlagsort | Sterling Forest |
| Sprache | englisch |
| Maße | 155 x 230 mm |
| Gewicht | 298 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| ISBN-10 | 1-60649-231-4 / 1606492314 |
| ISBN-13 | 978-1-60649-231-4 / 9781606492314 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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