Applied Regression Analysis for Business -Bookswagon
Applied Regression Analysis for Business

Applied Regression Analysis for Business


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About the Book

Preface ........................................................................................................................... 1
Chapter 1 - Basics of regression models .................................................................. 21.1. Types and applications of regression models. .............................................................................. 21.2. Basic elements of a single-equation linear regression model. ..................................................... 4Chapter 2 - Relevance of outlying and influential observations for regression analysis ..................................................................................................... 72.1. Nature and dangers of univariate and multivariate outlying observations. ................................ 72.2. Tools for detection of outlying observations. ............................................................................. 192.3. Recommended procedure for detection of outlying and influential observations. .................... 322.4. Dealing with detected outlying and influential observations. .................................................... 33Chapter 3 - Basic procedure for multiple regression model building ............. 353.1. Introduction. ............................................................................................................................... 353.2. Preliminary specification of the model. ...................................................................................... 353.3. Detection of potential outliers in the dataset. ........................................................................... 403.4. Selection of explanatory variables (from the set of candidates). ............................................... 483.5. Interpretation of the obtained regression' structural parameters. ............................................ 57Chapter 4 - Verification of multiple regression model ...................................... 604.1. Introduction. ............................................................................................................................... 604.2. Testing general statistical significance of the whole model: F test. ........................................... 614.3. Testing the normality of regression residuals' distribution. ....................................................... 634.4. Testing the autocorrelation of regression residuals. .................................................................. 724.5. Testing the heteroscedasticity of regression residuals. .............................................................. 874.6. Testing the symmetry of regression residuals. ........................................................................... 974.7. Testing the randomness of regression residuals. ..................................................................... 1064.8. Testing the specification of the model: Ramsey's RESET test. ................................................. 1154.9. Testing the multicollinearity of explanatory variables. ............................................................ 1214.10. What to do if the model is not correct? .................................................................................. 1254.11. Summary of verification of our model .................................................................................... 130Chapter 5 - Common adjustments to multiple regressions .............................. 1325.1. Dealing with qualitative factors by means of dummy variables. ............................................. 1325.2. Modeling seasonality by means of dummy variables. ............
About the Author:

Jacek Welc obtained his Ph.D. in Economics for his thesis on "Autoregressive Distributed Lags in Forecasting Regional Business Cycles" in 2008 from the Wroclaw University of Economics, after having graduated there with a Master of Economics in 2003. Besides having published more than forty research papers, Welc has been active in professional corporate finance services, including financial statement auditing and company valuations, which mainly involve companies listed on the Warsaw Stock Exchange.

Pedro J. Rodriguez Esquerdo obtained his Ph.D. in Mathematics in 1983 from the University of California, Santa Barbara, after he graduated with a Master in Statistics in 1980 and a Master in Economics in 1981. He published several academic textbooks on mathematics and statistics including "Estadistica Descriptiva. Una Introduccion Conceptual Al Analisis".


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Product Details
  • ISBN-13: 9783319711553
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2018
  • Language: English
  • Returnable: Y
  • Sub Title: Tools, Traps and Applications
  • Width: 156 mm
  • ISBN-10: 3319711555
  • Publisher Date: 22 Jan 2018
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 286
  • Spine Width: 18 mm
  • Weight: 648 gr


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