Statistical Inference Package 1.1
Application-Oriented Statistical Inference
Statistical Inference Package makes it easy for you to do classical likelihood-based statistical inference.
- Profile-likelihood-based confidence intervals for general parametric
- Large collection of statistical distributions and models
- Automatic handling of censored data
- Generalized regression models
- Likelihood ratio test for general parametric hypotheses
The package contains a large collection of discrete and absolutely
continuous univariate and multivariate distributions. You can form
complicated models from simpler ones. Statistical Inference
Package provides many sophisticated statistical regression models,
such as univariate/multivariate-linear/nonlinear, logistic, Poisson,
multinomial, and more. It uses a new method for calculating
profile-likelihood-based confidence intervals for general parametric
functions in general parametric statistical models.
In addition to the statistical analysis procedures, Statistical
Inference Package provides easy access to Mathematica's
powerful tools for doing mathematics, graphics, programming, and
About the Developer
Dr. Esa Uusipaikka is a professor of statistics at the University of
Turku in Finland, from which he also received his PhD. He has
published several articles on statistical inference.
Statistical Inference Package is developed and supported by
Dr. Esa Uusipaikka.
Dr. Esa Uusipaikka
Torppamaankatu 13-15 as 4
Statistical Inference Package 1.1 requires
Mathematica 6, 7, or 8 and is available for Windows,
Mac OS X, and Linux.
Statistical Inference Package is © 2006-2011 Dr. Esa