Books like Regression & Linear Modeling by Jason W. Osborne
Regression & Linear Modeling offers an accessible, conversational treatment of the generalized linear model (GLM). It explains ordinary least squares regression and extends to binary and multinomial logistic regression, ordinal regression, Poisson regression, and loglinear models. Throughout the book, Dr. Jason W. Osborne emphasizes testing assumptions, evaluating data quality, and incorporating nonlinear and non‑additive effects where appropriate, providing readers with a clear understanding of both theory and practical application.
First publish date: 2016
Genre: Psychology/General Psychology
Authors: Jason W. Osborne
★
★
★
★
★
0.0 (0 community ratings)
How are these books recommended?
The books recommended for Regression & Linear Modeling by Jason W. Osborne are shaped by reader interaction. Votes on how closely books relate, user ratings, and community comments all help refine these recommendations and highlight books readers genuinely find similar in theme, ideas, and overall reading experience.
Have you read any of these books?
Your votes, ratings, and comments help improve recommendations and make it easier
for other readers to discover books they’ll enjoy.
Books similar to Regression & Linear Modeling (14 similar books)
A concise, one‑semester text that systematically develops the theory and application of linear models, covering regression, matrix fundamentals, analysis of variance, and statistical inference.
Similar?
✓ Yes
0
✗ No
0
The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.
Similar?
✓ Yes
0
✗ No
0
An Introduction to Statistical Learning offers a practitioner‑friendly guide to modern statistical learning methods, including linear regression, classification, resampling, shrinkage, tree‑based models, SVMs, and clustering, with R tutorials and real‑world examples.
Similar?
✓ Yes
0
✗ No
0
A concise guide for advanced undergraduate and beginning graduate students, introducing the theory of linear statistical models.
Similar?
✓ Yes
0
✗ No
0
Michael Mitchell's Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless of the audience. As an example, many experienced researchers start to squirm when asked to give a simple explanation of the applied meaning of interactions in nonlinear models such as logistic regression. The tools in Mitchell's book make this task much more enjoyable and comprehensible
Similar?
✓ Yes
0
✗ No
0
Applied Linear Regression, 3rd Edition by Sanford Weisberg guides students through theory and practice of linear regression, emphasizing model building, graphical diagnostics, and modern techniques like bootstrapping and non-linear extensions.
Similar?
✓ Yes
0
✗ No
0
A popular statistical text, now updated and better than ever!
Similar?
✓ Yes
0
✗ No
0
Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic settings for conducting actual research projects. Next, he emphasizes the importance of developing a treatment design based on a research hypothesis as an initial step, then developing an experimental or observational study design that facilitates efficient data collection. In addition to a consistent focus on research design, Kuehl offers an interpretation for each analysis.
Similar?
✓ Yes
0
✗ No
0
A practical guide for applying regression techniques to real data, illustrating common irregularities, assumptions, and evaluation steps with clear examples that can be run in standard statistical software.
Similar?
✓ Yes
0
✗ No
0
Some Other Similar Books
Applied Linear Regression by S. ConstantineRegression Modeling Strategies by Frank E. Harrell Jr.
Regression Analysis by Example by Samuel Case, Carl D. Cowan
Advanced Regression Techniques by Jean-Paul Smyth
Have a similar book in mind? Let others know!
Please login to submit books!