Introduction to linear regression analysis /
Montgomery, Douglas C.,
Introduction to linear regression analysis / Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining. - Sixth edition. - Hoboken, New Jersey : Wiley, c2021 - xv, 673pages 23cm - Wiley series in probability and statistics .
Includes bibliographical references and index.
Introduction -- Simple linear regression --Multiple linear regression -- Model adequacy checking -- Transformations and weighting to correct model inadequacies -- Diagnostics for leverage and influence -- Polynomial regression models -- Indicator variables -- Multicollinearity -- Variable selection and model building -- Validation of regression models -- Introduction to nonlinear regression -- Generalized linear models -- Regression analysis of time series data --- Other topics in the use of regression analysis
"In statistics, linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables. A linear regression model attempts to explain the relationship between two or more variables using a straight line."--
9781119578727
2020034055
Regression analysis.
QA278.2 / .M66 2021
519.5/36
Introduction to linear regression analysis / Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining. - Sixth edition. - Hoboken, New Jersey : Wiley, c2021 - xv, 673pages 23cm - Wiley series in probability and statistics .
Includes bibliographical references and index.
Introduction -- Simple linear regression --Multiple linear regression -- Model adequacy checking -- Transformations and weighting to correct model inadequacies -- Diagnostics for leverage and influence -- Polynomial regression models -- Indicator variables -- Multicollinearity -- Variable selection and model building -- Validation of regression models -- Introduction to nonlinear regression -- Generalized linear models -- Regression analysis of time series data --- Other topics in the use of regression analysis
"In statistics, linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables. A linear regression model attempts to explain the relationship between two or more variables using a straight line."--
9781119578727
2020034055
Regression analysis.
QA278.2 / .M66 2021
519.5/36