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Applied Regression Analysis

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, u.

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  • "Applied regression analysis"
  • "Applied regression analysis"@pl
  • "Special issue on applied regression analysis"
  • "Special issue on applied regression analysis"@en

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  • "Fitting a straight line by least squares. The matrix approach to linear regression. The examination of residuals. Two predictor variables. More complicated models. Selecting the best regression equation. Two specific problems. Multiple regression and mathematical model building. Multiple regression applied to analysis of variance problems. Contents. An introduction to nonlinear estimation."
  • "Fitting a straight lise by squares; The matrix approach to linear regression; Thr examination of residuals; Two independent variables; More complicated models; Selecting the "best" regression equation; A specific problem; Multiple regression and mathematical model building; Multiple regression applied to analysis of variance problems; An introduction to nonlinear estimation; Percentage points of the distribution; Percentage points of the distribution."
  • "An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, u."@en
  • "Fitting a straight line by least squares; The matrix approach to linear regression; Examination of residuals; Two predictors variables; More complicated models; Selecting the "best" regression equation; Two specific problems; Multiple regression and mathematical model building; Multiple regression applied to anlysis of variance problems; An introduction to nonlinear estimation."
  • "Fitting straight line by least squares. The matrix approach to linear regression. The examination of residuals. Two variables. More complicated models. Selecting the "best" regression equation. Two specific problems. Multiple regression and mathematical model building. Multiple regression applied to analysis of variance problems. An introduction to nonlinear estimation."

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  • "Bibliographie"@en
  • "Aufsatzsammlung"@en
  • "Electronic books"@en
  • "Matériel didactique"
  • "Livres électroniques"

name

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  • "Prikladnoj regressionnnyj analiz"
  • "Ōyō kaiki bunseki"
  • "Ōyō kaiki bunseki"@ja
  • "応用回帰分析"
  • "Applied regression analysis : 2d ed"
  • "Applied Regression Analysis"
  • "Applied Regression Analysis"@en
  • "Applied regression analysis"@en
  • "Applied regression analysis"
  • "Analiza regresji stosowana"
  • "Analiza regresji stosowana"@pl
  • "Prikladnoj regressionnyj analiz"
  • "Applied regression analysis. 2.ed"
  • "Prikladnoĭ regressionnyĭ analiz"
  • "Applied regression analysis : [includes disk]"
  • "Applied regression analysispc[by] N.R. Draper [and] H. Smith"@en
  • "Epharmosmenē analysē palindromēsēs"
  • "Prikladnoi regressivnyi analiz"

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