Enhance Your Statistics

JMP includes a variety of statistical capabilities. Whether you are forecasting using simple methods such as exponential smoothing and Winters Method or constructing complicated ARIMA models, JMP provides a comprehensive collection of methods and diagnostic tools for evaluating your times series data. Need to analyze a split plot design or a randomized complete block design? JMP has expanded its support for mixed models by including restricted maximum likelihood (REML) methods. Logistic regression now includes ROC (Receiver Operating Characteristic) curves. Matched Pairs is a analysis platform for performing paired t-tests. Multiple comparison tests, such as Tukey-Kramer HSD and LSMeans Student's t, are available for multiway ANOVA. Need to fit distributions? The Distribution platform performs goodness of fit tests on many new distributions: Normal, Lognormal, 2 & 3 parameter Weibull, Extreme Value, Gamma, Beta, and Exponential.

The Model Comparison table in the Time Series platform allows you to evaluate different models side by side using a variety of statistics of fit.