| Call Number (LC) | Title | Results |
|---|---|---|
| QA278.2 .V35 2020 | Spatial relationships between two georeferenced variables : with applications in R / | 1 |
| QA278.2 .V36 2019eb | Theory of spatial statistics : a concise introduction / | 1 |
| QA278.2 .V57 2021 | Visually presenting regression results : the coefficient plot. | 1 |
| QA278.2 .W34 2021 | Modern dimension reduction / | 1 |
| QA278.2 .W35 2013 | Bayesian and frequentist regression methods / | 1 |
| QA278.2 .W355 2010 | Hierarchical voronoi graphs spatial representation and reasoning for mobile robots / | 1 |
| QA278.2 .W36 2018eb | Bayesian regression modeling with INLA / | 1 |
| QA278.2 .W44 | Applied linear regression / | 1 |
| QA278.2 .W45 1996 | Autoregressive model inference in finite samples = Autoregressief modelleren op basis van een eindig aantal waarnemingen / | 1 |
| QA278.2 .W47 | Multiple regression and analysis of variance : an introduction for computer users in management and economics / | 2 |
| QA278.2 .W475 2020eb | Understanding regression analysis : a conditional distribution approach / | 1 |
| QA278.2 .W49 1984 | Contributions to correlational analysis / | 1 |
| QA278.2 .W54 2019 | Learn about multicollinearity in SPSS with data from transparency, class bias, and redistribution : evidence from the American States Dataset (2018) / | 1 |
| QA278.2 W54 2019 | Learn about the Eta squared coefficient with data from the "Do social rights affect social outcomes?" dataset (2015) / | 1 |
| QA278.2 .W557 2012 | Regression analysis : understanding and building business and economic models using Excel / | 1 |
| QA278.2 W557 2015 | Regression Analysis : Understanding and Building Business and Economic Models Using Excel, Second Edition. | 1 |
| QA278.2 .W65 2019 |
Learn about Geary's C in Python using Airbnb data in Berlin residential districts (2018) / Learn about spatial lag of X (SLX) models in Python using Airbnb data in Dublin (2018) / Learn about join counts in Python using Airbnb data in Berlin residential districts (2018) / Learn about spatial fixed effects models in Python using Airbnb data in Berlin residential districts (2018) / Learn about local Moran's I in Python using Airbnb data in Berlin residential districts (2018) / |
5 |
| QA278.2 .W75 2009 | Modern Regression Techniques Using R : a Practical Guide. | 1 |
| QA278.2 .Y36 2009 | Linear regression analysis : theory and computing / | 1 |
| QA278.2 .Y36 2009eb | Linear regression analysis : theory and computing / | 1 |
