Providing software solutions since 1976
Capabilities
- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Distribution Analysis
- Discriminant Analysis
- Exact Methods
- Group Sequential Design and Analysis
- Market Research
- Missing Value Imputation
- Mixed Models
- Multivariate Analysis
- Nonparametric Statistics
- Power and Sample Size
- Psychometric Analysis
- Regression
- Spatial Analysis
- Structural Equations
- Survey Sampling and Analysis
- Survival Analysis
- Transformations
- SAS/STAT Procedures A-Z
The PROBIT Procedure
- calculates maximum likelihood estimates of regression parameters and the
natural (or threshold) response rate for quantal response data from biological assays or other discrete
event data. This includes the following regression models:
- probit
- logit
- ordinal logistic
- extreme value (or gompit)
- obtain separate analyses on observations in groups
- perform weighted estimation
- creates a SAS data set containing the parameter estimates and their estimated covariances
- creates a SAS data set containing the input data, the fitted probabilities, the linear prediction and the estimate of its standard error
- supports ODS Graphics
- uses ODS to create a SAS data set corresponding to any table
For further details see the SAS/STAT User's Guide:
The PROBIT Procedure
( PDF | HTML )
Examples
Statistics and Operations Research Home Page | SAS/STAT Software
