Systat 11

You'll never have to worry about finding the right statistic. Robust algorithms from leading statisticians give meaningful results even with extreme data. Fit regression models in nested, 2-level data when assumptions of independent observations are violated and the estimates from standard least squares general linear model (GLM) are suspect. Create missing value estimates using regression-based point estimation or an EM algorithm, then save the data or the triangular matrix as input to GLM, ANOVA or other models. Analyze geostatistical data with deep spatial statistics capabilities including 2-D and 3-D Variogram and Kriging. Analyze industrial data and take your process to higher sigma levels. Obtain complete distributions and standard errors using SYSTAT's bootstrapping capability implemented globally across 21 statistical procedures even when normality assumptions are violated and no model is available. Fit suitable models to your data using SYSTAT's wide choice of standard probability distributions. Use SYSTAT's fine documentation and training material-printed and online-in educational environments.