Regression & Linear Modeling
Download or Read eBook Regression & Linear Modeling PDF written by Jason W. Osborne and published by SAGE Publications. This book was released on 2016-03-24 with total page 489 pages. Available in PDF, EPUB and Kindle.
| Author | : Jason W. Osborne |
| Publisher | : SAGE Publications |
| Total Pages | : 489 |
| Release | : 2016-03-24 |
| ISBN-10 | : 9781506302751 |
| ISBN-13 | : 1506302750 |
| Rating | : 4/5 (51 Downloads) |
Book Synopsis Regression & Linear Modeling by : Jason W. Osborne
Book excerpt: 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. Author Jason W. Osborne 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.
