Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/3006
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dc.contributor.authorWelc, Jacek. ; author. ;en_US
dc.contributor.authorEsquerdo, Pedro J. Rodriguez. ; author. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:42:33Z-
dc.date.available2020-05-17T08:42:33Z-
dc.date.issued2018en_US
dc.identifier.isbn978-3-319-71156-0 ; 978-3-319-71155-3 (Print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/3006-
dc.descriptionHdig ; SFX ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionZdig ; WaSeSS ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; Applied Regression Analysis for Business ; 9783319711553 ;en_US
dc.description.abstractThis 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 whichare 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 management. ;en_US
dc.description.statementofresponsibilityby Jacek Welc, Pedro J. Rodriguez Esquerdo.en_US
dc.description.tableofcontentsPreface.-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 Tables. ;en_US
dc.format.extentXI, 286 p. 58 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319711560.pdfen_US
dc.subjectBusinessen_US
dc.subjectBusiness mathematics. ;en_US
dc.subjectStatistics. ;en_US
dc.subjectEconometrics. ;en_US
dc.subjectBusiness and Managementen_US
dc.subjectBusiness Mathematics. ;en_US
dc.subjectStatistics for Business/Economics/Mathematical Finance/Insurance. ;en_US
dc.subjectEconometrics. ;en_US
dc.titleApplied Regression Analysis for Businessen_US
dc.title.alternativeTools, Traps and Applications /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcHF5691-5716 ;en_US
dc.classification.dc330.0151 ; 23 ;en_US
Appears in Collections:تمامی گرایش های مدیریت شامل مدیریت بازرگانی و صنعتی

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dc.contributor.authorWelc, Jacek. ; author. ;en_US
dc.contributor.authorEsquerdo, Pedro J. Rodriguez. ; author. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:42:33Z-
dc.date.available2020-05-17T08:42:33Z-
dc.date.issued2018en_US
dc.identifier.isbn978-3-319-71156-0 ; 978-3-319-71155-3 (Print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/3006-
dc.descriptionHdig ; SFX ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionZdig ; WaSeSS ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; Applied Regression Analysis for Business ; 9783319711553 ;en_US
dc.description.abstractThis 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 whichare 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 management. ;en_US
dc.description.statementofresponsibilityby Jacek Welc, Pedro J. Rodriguez Esquerdo.en_US
dc.description.tableofcontentsPreface.-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 Tables. ;en_US
dc.format.extentXI, 286 p. 58 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319711560.pdfen_US
dc.subjectBusinessen_US
dc.subjectBusiness mathematics. ;en_US
dc.subjectStatistics. ;en_US
dc.subjectEconometrics. ;en_US
dc.subjectBusiness and Managementen_US
dc.subjectBusiness Mathematics. ;en_US
dc.subjectStatistics for Business/Economics/Mathematical Finance/Insurance. ;en_US
dc.subjectEconometrics. ;en_US
dc.titleApplied Regression Analysis for Businessen_US
dc.title.alternativeTools, Traps and Applications /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcHF5691-5716 ;en_US
dc.classification.dc330.0151 ; 23 ;en_US
Appears in Collections:تمامی گرایش های مدیریت شامل مدیریت بازرگانی و صنعتی

Files in This Item:
File Description SizeFormat 
9783319711560.pdf6.29 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWelc, Jacek. ; author. ;en_US
dc.contributor.authorEsquerdo, Pedro J. Rodriguez. ; author. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:42:33Z-
dc.date.available2020-05-17T08:42:33Z-
dc.date.issued2018en_US
dc.identifier.isbn978-3-319-71156-0 ; 978-3-319-71155-3 (Print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/3006-
dc.descriptionHdig ; SFX ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionZdig ; WaSeSS ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; Applied Regression Analysis for Business ; 9783319711553 ;en_US
dc.description.abstractThis 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 whichare 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 management. ;en_US
dc.description.statementofresponsibilityby Jacek Welc, Pedro J. Rodriguez Esquerdo.en_US
dc.description.tableofcontentsPreface.-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 Tables. ;en_US
dc.format.extentXI, 286 p. 58 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319711560.pdfen_US
dc.subjectBusinessen_US
dc.subjectBusiness mathematics. ;en_US
dc.subjectStatistics. ;en_US
dc.subjectEconometrics. ;en_US
dc.subjectBusiness and Managementen_US
dc.subjectBusiness Mathematics. ;en_US
dc.subjectStatistics for Business/Economics/Mathematical Finance/Insurance. ;en_US
dc.subjectEconometrics. ;en_US
dc.titleApplied Regression Analysis for Businessen_US
dc.title.alternativeTools, Traps and Applications /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcHF5691-5716 ;en_US
dc.classification.dc330.0151 ; 23 ;en_US
Appears in Collections:تمامی گرایش های مدیریت شامل مدیریت بازرگانی و صنعتی

Files in This Item:
File Description SizeFormat 
9783319711560.pdf6.29 MBAdobe PDFThumbnail
Preview File