000			01752nam a22002297a 4500
999			_c467 _d467
005			20211113111233.0
008			191105b ||||| |||| 00| 0 eng d
020			_a9783319711553
082			_a519.536 _bWEL
100			_aWelc, Jacek _91471
245			_aApplied regression analysis for business: tools, traps and applications
260			_bSpringer _aSwitzerland _c2018
300			_axi, 286 p.
365			_aEURO _b79.99
520			_aThis 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.
650			_aRegression analysis--Mathematical models _91472
650			_aStatistics _9951
650			_aBusiness mathematics _9179
650			_aEconometrics _9845
700			_aEsquerdo, Pedro J. Rodriguez, _91473
942			_2ddc _cBK