Regression & Linear Modeling
1st Edition
Best Practices and Modern Methods
eISBN-13: 9781506302775
eBook Features
-
Read Anywhere
Read your book anywhere, on any device, through RedShelf's cloud based eReader.
-
Digital Notes and Study Tools
Built-in study tools include highlights, study guides, annotations, definitions, flashcards, and collaboration.
-
Text-to-Speech Compatible
Have the book read to you!
-
Offline Access
(
100% )
The publisher of this book allows a portion of the content to be used offline.
-
Printing
(
20%
)
The publisher of this book allows a portion of the content to be printed.
-
Copy/Paste
(
20% )
The publisher of this book allows a portion of the content to be copied and pasted into external tools and documents.
Additional Book Details
In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become familiar with applications of ordinary least squares (OLS) regression, binary and multinomial logistic regression, ordinal regression, Poisson regression, and loglinear models. The author returns to certain themes throughout the text, such as testing assumptions, examining data quality, and, where appropriate, nonlinear and non-additive effects modeled within different types of linear models.
| Sold By | SAGE Publications |
|---|---|
| ISBNs | 1506302777, 9781506302751, 9781506302782, 9781506302768, 9781506302768, 9781506302775, 9781506302768 |
| Language | English |
| Number of Pages | 488 |
| Edition | 1st |