
Introduction to Linear Regression Analysis
Wiley · Print & ebook · March 16, 2021
A Mathematics pick for readers exploring Introduction to Linear Regression Analysis.
We earn from qualifying purchases.
- Who it’s for
- A grounded introduction to regression principles, model-building, applications, and generalized techniques.
- Themes
- Linear regression analysis, Regression model building, Theory and application
- Genres
- Regression Analysis
Nearest books
Matched by what the books are about, then ordered by what their readers also loved.
Applied Regression ModelingIain Pardoe65% matchShares Regression Analysis
Matrices and Linear AlgebraHans Schneider, George Phillip Barker63% match
Applied Longitudinal AnalysisGarrett M. Fitzmaurice, Nan M. Laird62% matchShares Regression Analysis
An Introduction to Probability and StatisticsVijay K. Rohatgi, A. K. Md. Ehsanes Saleh61% matchShares Regression Analysis
A Course in Linear AlgebraDavid B. Damiano, John B. Little58% match
Applied Logistic RegressionDavid W. Hosmer, Jr., Stanley Lemeshow58% matchShares Regression Analysis
Practical Linear Algebra for Data ScienceMike Cohen57% match
Elementary Linear AlgebraHoward Anton57% match
Start with three books, and this one can be the first.
Members get a new edition every morning: a route out from their books to essays, research and talks, with the reason for each.
Start with this bookAbout this book
INTRODUCTION TO LINEAR REGRESSION ANALYSIS A comprehensive and current introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis.
Continue reading
Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book. The new edition focuses on four key areas of improvement over the fifth edition: - New exercises and data sets - New material on generalized regression techniques - The inclusion of JMP software in key areas - Carefully condensing the text where possible Introduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today’s cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.
Regression Model-Building
A grounded introduction to regression principles, model-building, applications, and generalized techniques.
Come here for
- Foundational principles for applying linear regression
- Theory alongside conventional and less common applications
Expect
- New material on generalized regression techniques
- JMP software included in key areas
Where it sits
| Regression Analysis | 100% |
|---|
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Linear Algebra
- Regression Analysis
- Authors
- Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
- Publisher
- Wiley
- Published
- March 16, 2021
- Format
- Print & ebook
- Theme
- Linear regression analysis · Regression model building · Theory and application
- Reading lane
- Linear Algebra