IBM SPSS Bootstrapping
Create More Reliable Models and Generate More Accurate Results
- Overview
- Features and Benefits
IBM SPSS Bootstrapping helps reduce the impact of outliers and anomalies that can degrade the accuracy or applicability of your analysis. As a result, you have a clearer view of your data for creating the model you are working with.
- Fast, easy re-sampling -- estimate the sampling distribution of an estimator in a snap
- Reduce the impact of outliers and anomalies -- ensure the stability and reliability of your models
- Bootstrap many analytical procedures -- test a wide range of the descriptive and modeling procedures found in the IBM SPSS Statistics product family
IBM SPSS Bootstrapping works with a number of analytical procedures in the IBM SPSS Statistics product family, including:
| Descriptive Procedures | Product |
| Descriptives | IBM SPSS Statistics Base |
| Frequencies | IBM SPSS Statistics Base |
| Examine | IBM SPSS Statistics Base |
| Means | IBM SPSS Statistics Base |
| Crosstabs | IBM SPSS Statistics Base |
| t tests | IBM SPSS Statistics Base |
| Correlations/Nonparametric correlations | IBM SPSS Statistics Base |
| Partial Correlations | IBM SPSS Statistics Base |
| Modeling Procedures | Product |
| One-way | IBM SPSS Statistics Base |
| UniAnova | IBM SPSS Statistics Base |
| Linear Regression | IBM SPSS Statistics Base |
| Discriminant | IBM SPSS Statistics Base |
| General Linear Models | IBM SPSS Advanced Statistics |
| Generalized Linear Models | IBM SPSS Advanced Statistics |
| Linear Mixed Models | IBM SPSS Advanced Statistics |
| Cox Regression | IBM SPSS Advanced Statistics |
| Nominal Regression | IBM SPSS Regression |
| Logistic Regression, Binary, Multinomial | IBM SPSS Regression |
| Logistic and Ordinal Regression | IBM SPSS Regression |