Applied Regression Analysis for Business : Tools, Traps and Applications / by Jacek Welc, Pedro J. Rodriguez Esquerdo

Von:

Welc, Jacek [aut]

Mitwirkende(r):

Esquerdo, Pedro J. Rodriguez [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink Bücher | Springer eBook Collection Business and ManagementVerlag: Cham : Springer, 2018Beschreibung: Online-Ressource (XI, 286 p. 58 illus. in color, online resource)ISBN:

9783319711560

Schlagwörter:

Andere physische Formen: 9783319711553 | Erscheint auch als: 978-3-319-71155-3 Druck-Ausgabe | Printed edition: 9783319711553 | Erscheint auch als: Applied regression analysis for business. Druck-Ausgabe Cham : Springer, 2018. xi, 286 SeitenDDC-Klassifikation:

330.0151

LOC-Klassifikation:

HF5691-5716

DOI: DOI: 10.1007/978-3-319-71156-0Online-Ressourcen:

Zusammenfassung: This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational managementZusammenfassung: Preface.- Basics of regression models.- Relevance of outlying and influential observations for regression analysis.- Basic procedure for multiple regression model building -- Verification of multiple regression model -- Common adjustments to multiple regressions -- Common pitfalls in regression analysis -- Regression analysis of discrete dependent variables -- Real-life case-study: The quarterly sales revenues of Nokia Corporation -- Real-life case-study: Identifying overvalued and undervalued airlines -- Appendix: Statistical TablesPPN: PPN: 1658638352Package identifier: Produktsigel: ZDB-2-BUM | ZDB-2-SEB | ZDB-2-SXBM

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