Call Number (LC) Title Results
QA278.2 .T88 2012eb Regression for categorical data / 2
QA278.2 .U97 2009eb Confidence intervals in generalized regression models 1
QA278.2 .V25 1994 Logistic regression with missing values in the covariates / 1
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 join counts in Python using Airbnb data in Berlin residential districts (2018) /
Learn about Geary's C 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) /
Learn about spatial lag of X (SLX) models in Python using Airbnb data in Dublin (2018) / 		5