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03643nam a2200493 4500 |
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978-3-319-71156-0 |
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20191026072240.0 |
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171229s2018 gw | s |||| 0|eng d |
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|a 9783319711560
|9 978-3-319-71156-0
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|a 10.1007/978-3-319-71156-0
|2 doi
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|d GrThAP
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|a HF5691-5716
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|a KJQ
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|a BUS091000
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|a 330.0151
|2 23
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|a Welc, Jacek.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Applied Regression Analysis for Business
|h [electronic resource] :
|b Tools, Traps and Applications /
|c by Jacek Welc, Pedro J. Rodriguez Esquerdo.
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250 |
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|a 1st ed. 2018.
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264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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300 |
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|a XI, 286 p. 58 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
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|a 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 Tables.
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|a 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 management.
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650 |
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|a Business mathematics.
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650 |
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|a Statistics .
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650 |
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|a Econometrics.
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4 |
|a Business Mathematics.
|0 http://scigraph.springernature.com/things/product-market-codes/523000
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650 |
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|a Statistics for Business, Management, Economics, Finance, Insurance.
|0 http://scigraph.springernature.com/things/product-market-codes/S17010
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650 |
2 |
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|a Econometrics.
|0 http://scigraph.springernature.com/things/product-market-codes/W29010
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700 |
1 |
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|a Esquerdo, Pedro J. Rodriguez.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319711553
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776 |
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|i Printed edition:
|z 9783319711577
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776 |
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|i Printed edition:
|z 9783319890418
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856 |
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|u https://doi.org/10.1007/978-3-319-71156-0
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-BUM
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950 |
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|a Business and Management (Springer-41169)
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