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Regression analysis by example

Carrying out a successful application of regression analysis requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fourth Edition explains the principles underlying exploratory data analysis, emphasizing data analysis rather than statistical theory.

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  • "Carrying out a successful application of regression analysis requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fourth Edition explains the principles underlying exploratory data analysis, emphasizing data analysis rather than statistical theory."@en
  • ""This Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The coverage offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique"--"
  • "Praise for the Fourth Edition: ""This book is ... an excellent source of examples for regression analysis. It has been and still is readily readable and understandable.""--Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded."@en
  • ""The essentials of regression analysis through practical applications Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by Example, Fourth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression."--Publisher's website."
  • "Simple linear regression; Detection and correction of model violations: simple linear regression; Multiple regression model; Qualitative variables as regressors; Weighted least squares; The problem of correlated errors; Analysis of collinear data; Biased estimation of regression coefficients; Selection of variables in a regression equation."
  • ""This Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The coverage offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique""

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  • "Online-Publikation"
  • "Lehrbuch"
  • "Livres électroniques"
  • "Matériel didactique"
  • "Leermiddelen (vorm)"
  • "Libros electrónicos"
  • "Electronic books"@en

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  • "Regression analysis by example"
  • "Regression analysis by example"@en
  • "Regression analysis"
  • "Regression Analysis by Example"@en
  • "Regression Analysis by Example"
  • "Praxis der Regressionsanalyse"
  • "Regression analysis by example = 例解回归分析"
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