Download Jmp User Guide

Appendix B Main Menu 437
The Analyze Menu
means by the sums of squares due to the means differences. If y is categorical, then the response
rates become the fitted value. The most significant split can be determined by the largest
likelihood ratio Chi-squared statistic. In either case, the split is chosen to maximize the difference
in the responses between the two. See the JMP Statistics and Graphics Guide for details.
Time Series Lets you explore, analyze, and forecast univariate time series. The time series
platform also supports Transfer Function Models.
The launch window (role assignment window) requires that one or more continuous variables be
assigned as the time series. Also, you can specify a time ID variable, which is used to label the
time axis. If a time ID variable is specified it must be continuous, sorted ascending, and evenly
spaced with no missing values.
The analysis begins with a plot of the points in the time series. In addition, the platform displays
graphs of the autocorrelations and partial autocorrelations of the series. These indicate how and
to what degree each point in the series is correlated with earlier values in the series. You can
interactively add:
• Variograms—characterizations of process disturbances
• AR coefficients—autoregressive coefficients
• Spectral density plots—period and frequency plots with white noise tests
These graphs can be used to identify the type of model appropriate for describing and predicting
(forecasting) the evolution of the time series. The model types include:
• ARIMA—autoregressive integrated moving average, often called Box-Jenkins models
• Seasonal ARIMA—ARIMA models with a seasonal component
• Smoothing Model—several forms of exponential smoothing and Winters Method
See the JMP Statistics and Graphics Guide for details.
Categorical Tabulates and summarizes categorical response data, including multiple response
data, and calculates test statistics. It is designed to handle survey and other categorical response
data, including multiple response data like defect records, side effects, and so on. For details, see
the JMP Statistics and Graphics Guide.
Choice Lets you analyze the preference structure of consumers in order to design products and
services that have the attributes most desired by consumers.
B The Main Menu
Multivariate Methods
The Multivariate Methods submenu has the commands shown above that launch the following
platforms: