| Call Number (LC) | Title | Results |
|---|---|---|
| QA278.2 .S254 2014 | Statistical inference for models with multivariate t-distributed errors / | 1 |
| QA278.2 .S32 2005 | Statistical methods for spatial data analysis / | 1 |
| QA278.2 .S32 2005eb | Statistical methods for spatial data analysis / | 2 |
| QA278.2 .S35 2013eb | Regressionsanalysen mit R / | 1 |
| QA278.2.S35 2024 | Regression inside out / | 1 |
| QA278.2 .S35 2024 | Regression inside out / | 2 |
| QA278.2 .S36 2019 |
Learn to use partial correlation in SPSS with data from the NIOSH Quality of worklife survey (2014) / Learn to test for multicollinearity in R with data from the English Health Survey (teaching dataset) (2002) / Learn to use partial correlation in R with data from the NIOSH Quality of Worklife Survey (2014) / |
3 |
| QA278.2 .S3654 1995 |
Reduced rank regression with applications to quantitative structure-activity relationships / Reduced rank regression : with applications to quantitative structure-activity relationships / |
2 |
| QA278.2 .S4 2003 |
Linear regression analysis Linear regression analysis / |
2 |
| QA278.2 .S425 1989 |
Nonlinear regression / Nonlinear regression |
2 |
| QA278.2 .S425 2003 | Nonlinear regression / | 1 |
| QA278.2 .S46 1990 |
Regression analysis theory, methods and applications / Regression analysis : theory, methods and applications / |
2 |
| QA278.2 .S497 2011 | Spatial statistics and spatio-temporal data : covariance functions and directional properties / | 1 |
| QA278.2 .S497 2011eb |
Spatial statistics and spatio-temporal data : covariance functions and directional properties / Spatial statistics and spatio-temporal data covariance functions and directional properties / |
2 |
| QA278.2 .S498 2011 | Gaussian process regression analysis for functional data | 1 |
| QA278.2 .S54 2008 | A modern approach to regression with R | 1 |
| QA278.2 .S55 2012 | Essential statistics, regression, and econometrics / | 1 |
| QA278.2 .S55 2019 |
Learn about random forest in Python with data from the Adult Census Income dataset (1996) / Learn about random forest in R with data from the Adult Census Income dataset (1996) / Learn about cross validation in Python with data from the Adult Census Income dataset (1996) / Learn about cross validation in R with data from the Adult Census Income dataset (1996) / Learn about ordered logit regression in R with data from the General Social Survey (2016) / Learn about ordered probit regression in R with data from the General Social Survey (2016) / Learn about multinomial logit regression in R with data from the General Social Survey (2016) / Learn about time series ACF and PACF in SPSS with data from EPA's Air Quality System Data Mart (2017) / Learn about Cook's Distance in SPSS with data from the Global Health Observatory (2015) / Learn about Poisson regression in R with data from the Global Health Observatory (2015) / |
10 |
| QA278.2.S6 | Spatial Statistics and Digital Image Analysis. | 1 |
| QA278.2 .S615 2007 | Correlated data analysis : modeling, analytics, and applications / | 1 |
