IBM SPSS Statistics
Summary
With IBM SPSS Statistics, you can get a quick look at your data, formulate hypotheses for additional testing, and then carry out a number of procedures to help clarify relationships between variables, create clusters, identify trends and make predictions.
Authors
Vendor
IBM
Links
Status
incomplete information or not officially approved by the authors
Mathematical Classification
Keywords
- advanced statistical procedure
- Binary logistic regression
- Customized tables
- Easily classify your data into two groups
- Estimate parameters of nonlinear models
- Evaluate the value of stimuli using a logit
- everyday analytical taks
- Generalized estimating equations (GEE)
- Generalized linear mixed models (GLMM)
- Generalized linear models (GENLIN)
- General linear models (GLM)
- Hierarchical linear models (HLM)
- linear models
- Multinomial logistic regression (MLR)
- Nonlinear regression (NLR) and constrained nonlinear regression (CNLR)
- Predict categorical outcomes with more than two categories
- predictive analytics
- Probit analysis
- probit transformation of the proportion
- regression
- slice and dice